Resume and Portfolio Review Livestream!

Alex The Analyst

Send your Portfolio or Resume to AlexTheAnalystYT@gmail.com and I&#039;ll review it live!  I&#039;m just warning you now - I&#039;m not sugarcoating anything. I&#039;m going to say it how it is no matter how good or bad.  Get 1 Week Free for New Members! https://analystbuilder.com?promo=1WeekFree  Already a Member? Get 35% off any purchase with code: 35OFF ____________________________________________   SUBSCRIBE! Do you want to become a Data Analyst? That&#039;s what this channel is all about! My goal is to help you learn everything you need in order to start your career or even switch your career into Data Analytics. Be sure to subscribe to not miss out on any content! ____________________________________________   RESOURCES:  Coursera Courses: 📖Google Data Analyst Certification: https://coursera.pxf.io/5bBd62 📖Data Analysis with Python - https://coursera.pxf.io/BXY3Wy 📖IBM Data Analysis Specialization - https://coursera.pxf.io/AoYOdR 📖Tableau Data Visualization - https://coursera.pxf.io/MXYqaN  Udemy Courses: 📖Python for Data Analysis and Visualization- https://bit.ly/3hhX4LX 📖Statistics for Data Science - https://bit.ly/37jqDbq 📖SQL for Data Analysts (SSMS) - https://bit.ly/3fkqEij 📖Tableau A-Z

Transcript

00:00:02Hello, everybody. Test, test, test. One, two, three. Give me just a second. I like to confirm

00:00:09that everything's working on another screen, essentially. All right, it's working. All right,

00:00:17here's what we're going to do. This is going to be pretty simple. I'm about to show my screen. I

00:00:22have my computer that I'm looking at right now. I'm not getting fancy with anything. I'm literally

00:00:28just using the webcam on my computer. I'm going to show my screen, and I'm going to start showing

00:00:35resumes and portfolios and all sorts of stuff, and I'm going to give feedback. Now, here's kind of the

00:00:39ground rules for what we're doing. I am going to kind of imagine that you're applying to jobs in

00:00:48the U.S. I don't know the international market. Your resume may be perfect for wherever you live,

00:00:55but it may not be good for here. That's what I'm critiquing for. So if I give you feedback and

00:01:02I'm

00:01:02saying, hey, you know, I would change this or I would change that, and you're like, well, where I'm

00:01:07from, it's different, then that's fine. You don't have to take my feedback. This is free feedback.

00:01:13I'm doing this because I thought it would be a useful thing, especially just with a lot of people

00:01:20applying to jobs, and so we're going to go with it. Another ground rule is I'm not going to be

00:01:27mean.

00:01:28Nobody be mean in the comments. Let's not hurt people's feelings, but I'm also not going to take

00:01:36it easy on you, right? If your resume is bad, I'll tell you it's bad, and I'll give you feedback

00:01:41on to

00:01:41why and how to improve it. If you want to submit it, just so you know, I've gotten like 150

00:01:48people

00:01:49who've sent their resumes and portfolios in. So I have a lot to get through. I probably won't get

00:01:54through all of them. I'll try to be quick going, because we have so many, I'll try to get through

00:01:58a lot of them. If you want to, though, I think it's in the description. Let me go and look

00:02:03just

00:02:03while I'm here. Yeah, my email's in the description, alexanalystyt at gmail.com. If you want to still

00:02:11submit it, if I am able to get to it, then I will do that. So go ahead and submit

00:02:17your resume,

00:02:20and I will get to it. Now, let me change this, and let me make sure this is working,

00:02:29because I've never done this before. This is my first, well, this isn't my first time doing it,

00:02:33like, it's just my first time doing it in this way. So I'm just making sure, yeah, you can see

00:02:40my

00:02:40screen now. This is great. I might make myself just a tiny bit bigger. I'm not that important in

00:02:45this part. All right. I think we're good to go. So here's what we're going to do. I'm going to

00:02:52pull

00:02:53up, oh, I don't know if you guys can hear that. My dog is barking like crazy outside at somebody.

00:02:58I'm going to pull up this right here, and one at a time, let me text my wife.

00:03:09Let me text my wife real quick. There's a dog barking.

00:03:15Hey, I'm in the middle of a live stream. Can you get Max to stop barking? Thank you.

00:03:22All right. That takes care of that. All right. So here's what we're doing. I'm going to pull it

00:03:30over. I have tried to go through already some of them. I only have like 10 pulled up, so I'm

00:03:36going to have to do this live as we go, but I've already pre-vetted some, and I've tried to

00:03:40block

00:03:40out personal information, right? Locations, addresses, things like that. I kept people's

00:03:46names on there, but I tried to block things out. Now, this one was interesting. I'm going to bring

00:03:52this over. Let's make this full screen. So this guy, and let me, I'm going to start with some

00:04:00resumes, and then we'll get to some portfolios and portfolio websites. Give me one sec. So basically

00:04:09what I did is when I sent this out, I didn't give any rules. I just said, send me resumes,

00:04:15send me

00:04:15portfolios, and some people got creative with it. This guy got creative. His name is Frederick, and he sent

00:04:22in the application or the job posting, and then what he actually sent in for his resume. So he

00:04:29customized his resume. I thought that was really neat, so I was going to go through this one.

00:04:34But this is the job description. It is for a senior data analyst, and this is in Fort Walton Beach,

00:04:42Florida. This is in the United States. And the job posting is, you know, they want people with data

00:04:48exploration, data cleaning, data analysis, data visualization, data mining, communicating analysis,

00:04:55experience with SQL, R, or Python to extract this information, and some other information. But

00:05:02that's kind of the basic of it. And this company is called Booz Allen. So that's just some backstory.

00:05:10Now, here's the guy's resume. So this is his resume that he sent in for this application. That's what

00:05:17he sent in the email. So I'm just trusting him. Okay, and let's zoom in on this a little bit.

00:05:22Just so you can see it better. So this is Frederick. Hey, Frederick. I'm sure you live in Florida. But

00:05:27here's what he actually put. Now, again, we have a lot to get through. So I'm not going to spend,

00:05:34you know, five, 10 minutes on each one. We'll spend about a minute or two on this one,

00:05:37go to the next one. But it says, what can a senior data analyst from Gulf Breeze with a business

00:05:42sense

00:05:43of project manager do for Booz Allen, then he goes through his some of his credentials. So this is

00:05:47kind of like a just a summary, core competencies, Power BI, Python, SQL, Python, data, in the data

00:05:55category, things like sensor data collection, feature engineering AWS, some consulting in solution

00:06:04architecture, requirement gathering feature customization. One thing to note, by the way,

00:06:08is I pulled all of these so I could block this out. I pulled it into Google, what is this

00:06:14called?

00:06:15A Google Doc, just like a block it out. So it may not be exactly how they submitted it, but

00:06:19it's really

00:06:19close. Has some previous experience as a senior data analyst already, working with AWS and some ETL

00:06:29and data quality stuff. So the really good. It's a really good background, right? He already has

00:06:37experience and looks really good. Here's what I will say. So everything, I actually don't mind this

00:06:45because you're customizing it. Typically, for me, I don't include a lot of summary. But this is

00:06:51totally fine, especially because you're kind of calling out a specific job. Say no, you did that.

00:06:57I think core competencies, this looks totally fine. This looks good. Your experience is great.

00:07:02At the bottom here, and this is on a second page, by the way, at the bottom here, you have

00:07:07this

00:07:07project right here, key project highlight, cell phone tower trial and root cause analysis.

00:07:13I'm sure this project is really good. I'm sure it is. But this section does not look very good.

00:07:21And it's way too big. I recommend if you're going to do that, add a link to the project,

00:07:28whether it's in GitHub or whatever it is, or your website or whatever it is, and just include

00:07:32basically all of this information, but in like two sentences. This should be a really small part of

00:07:38especially yours. This should be a very small part of your, your resume, because you have such good

00:07:44experience. This is the main highlight. And you don't need it to be two pages, you could condense this

00:07:48down into one, um, and a great, uh, great, um, education. So I personally would get rid of this

00:07:57just entirely. I would just say, Hey, you don't need this. Your experience is already really good.

00:08:01Whoops. You have some, uh, the personal stuff down there. Um, but this looks really good. So this is

00:08:05a good starting resume. Like this is a good resume, great background. All right, let's go to the next

00:08:11one. Um, this was just sent in. This is Jerry Vicky. Now I like when I was in the place

00:08:23where I was

00:08:24actually reviewing resumes and I've reviewed hundreds of resumes, just say for your background,

00:08:29I was on a hiring team for several years where I did the actual technical assessments and then I helped

00:08:35choose who we hired, but then I was a hiring manager. And of course in, you know, consulting and

00:08:40having my own team and stuff like that, I've hired a lot of people. So I know that from, you

00:08:47know,

00:08:47just a hiring perspective, they really glance at these. It's more of like, okay, do they have what

00:08:54we need? Is this formatted well? And then if they'd like you, if they're like, like, Oh, this is a

00:08:59kind

00:08:59of a contender for, you know, final interviews or something that they'll really dig into it.

00:09:04At first glance, I like how it looks. It, I'm almost certain this all fits on one page. It's just,

00:09:09uh, Google doc formatted a little strange, but a quick summary at the top, we have a technical

00:09:16skills and we got good stuff like Power BI, DAX, Power Query, Tableau. I see lots of SQL in here.

00:09:23Um, you don't have, I don't at least myself, I'm sure this is on like a different line.

00:09:30And I don't personally put things like join, CTs, Windows functions simply because, you know,

00:09:37if you're writing SQL, you know, you don't have to include, I don't think it's bad. I just,

00:09:42you don't have to include things like that. I think putting in these, which are different

00:09:46kind of types of databases from different, um, you know, whoever owns them, that's good.

00:09:51These things I don't think you have to have, but it's fine to keep in there. Then we have

00:09:55things like pivot tables, uh, power pivot and things like that. So this is the technical skills

00:10:01looks good. And here we have professional experience. Now, okay. I didn't look at this

00:10:06when I first saw it. Now, this is a very interesting thing that I've seen a lot of people do,

00:10:12which

00:10:13is a data analyst intern virtual job simulation. I have been seeing this more and more. I, I'm not

00:10:21trying to bash anything, but it is odd from like a hiring perspective. I don't know what a virtual

00:10:28job simulation, I I've seen it. I've seen people talk about it. I've never done it, but I'm guessing

00:10:34it's just, you know, like you go through a program and they give you like fake scenarios with maybe

00:10:41real data or maybe not. And you have to like pretend to do it. Um, okay. But analyze 30 days

00:10:47of

00:10:47IOT telemetry, JSON data across four global manufacturing factories and power BI built

00:10:53DAX calculated measures for 10 minute interval downtime. Okay. So now we're getting kind of

00:10:58in the weeds. Um, but is this professional experience that's up to you? You can keep it

00:11:07in it if you want. Um, it's just, it's, it's, it's strange. Like it peaks my like, whoa, what

00:11:15is a virtual job simulation? Maybe you guys are putting, cause I'm not even looking at the

00:11:20chat right now. Maybe I should be. Let me look at this chat. I can, I can, I have it

00:11:24on

00:11:24my phone cause I don't have another computer over here. Um, Hey Frederick. He said, this

00:11:28is my resume first. Yeah, that was yours. I hope that was helpful. Um, I'm not sure what

00:11:32this is though. I don't know what a virtual that that's just throwing me off. It's odd. It's like,

00:11:37okay, that's not, it's not a, a real internship. It's like a simulation of an internship. I don't

00:11:45know if I would include this. I think I would use this and add it to my projects. I think

00:11:50adding it

00:11:50under professional experience is going to throw whoever looks at it kind of off. It's going to

00:11:54throw them off. That's just my, my initial feedback. Now we also have, um, projects down here

00:12:02uh, bank customer churn analysis, marketing intelligence and customer, uh, conversion

00:12:07analytics, and they have links and the dashboard. Um, let me see. Am I able to click on this?

00:12:13Uh, it's not working at least in, um, in Google docs. So here's what I'll say because you don't

00:12:19have any working experience. This is just a virtual job simulation. I actually don't mind

00:12:24that the project section is longer. I don't mind that. Um, and then let's see your background

00:12:29is in, uh, IT. That's great. I love that. That's a good, uh, background. Now here we

00:12:37have certifications. This is the Google data analyst professional certification. Uh, I've

00:12:41done reviews on it. It's not bad. It's like a good starting certificate. It's not, it's

00:12:47not like super in depth. Um, there's other certificates that are out there. Now, when I

00:12:52think of certifications and if you go on to, and this is not a, I don't make any money from

00:12:56this website, it's alexanalyst.com. I just put free information up there, um, to help people.

00:13:01I have a certification section. There are ones that I actually do like. This one is not one that

00:13:05I'd be putting on my resume. One's like the, uh, uh, Microsoft power BI tableau, uh, tableau

00:13:11has some certifications, AWS, and Azure have some certifications that I recommend because they

00:13:17actually make a difference. Customers, uh, you know, I used to work in a Microsoft shop.

00:13:21We use Microsoft everything and Azure certifications actually meant something because we did a lot

00:13:27of Azure stuff. So I personally wouldn't have this on mine. Um, this is like kind of like

00:13:32a starter one, pretty beginner level. I don't think is the one I'd put on my resume. Um,

00:13:37but those other ones on my website, just that you can go and look and I think I put links

00:13:43to them. Then those are good ones to add. All right, let's go to the next one. Actually,

00:13:48I'm switching this up. I'm switching it up. Uh, let me make this. All right. This guy sent

00:13:55in, uh, his resume and his portfolio website, which is what I'm talking about. We're going

00:14:02to look at both of them. Um, I liked the initiative that he wasn't just sending in one, he was

00:14:07sending

00:14:07in both. I haven't really looked at these yet. I just pulled them up. So this is Benjamin

00:14:13Akin Gabade. I butchered that. I apologize. Um, it, this is not formatted perfectly. This

00:14:20actually is, uh, just a Google doc issue, but I, again, I want it to block out personal

00:14:25information. So the summary data analyst, the hands-on experience, uh, KPI dashboard creation

00:14:30and SQL, Excel, Python, scikit learn, um, including machine learning supervised. Okay. So

00:14:40I've worked with a lot of data scientists. I'm not a data scientist myself. I never claimed

00:14:46to be, I never am trying to be, but here's what I will say. Accuracy isn't actually accuracy

00:14:52is important, but without a lot of context, someone who has real experience, you know, building

00:15:01machine learning pipelines. If you have a hundred percent accuracy, something's wrong. Um, you know,

00:15:07sometimes depending on the data, 80% accuracy is actually better than like 95% accuracy. There's

00:15:12there, there, there, there can be issues with being too accurate. And so I don't know the background

00:15:18of this, but this raises like a red flag where I'm like, does this person know and really understand

00:15:26the accuracy of it, what it means? Are they doing, you know, different tests to make sure that the

00:15:32actually isn't too high because it is an issue. I know it sounds weird, but if you have done a

00:15:38real

00:15:38data science work in the field, then this would be like a red flag where if I was reading a

00:15:43resume,

00:15:43I'd be like, that seems off. So just a, just a feedback and plug that into like chat GPT and

00:15:49ask it

00:15:49about it. Say, is this weird that this says 98.2% accuracy? Because if accuracy being too high could

00:15:56be weird, just ask it. I, maybe it'll know more than I do. Uh, it very well could on this

00:16:02subject.

00:16:02That's just my like gut feeling. Everything else looks pretty good. Uh, I have no problem with anything

00:16:07else in there. Let's go down to skills. So data analysis, uh, data set analysis, trend identification's

00:16:16fine. KPI tracking data. Yeah. Data set analysis. I don't know. I would take that out. Um, just because

00:16:25in the real world, you won't, don't really call it a data set. Um, you call data sets like fake

00:16:32data

00:16:32sets like, Oh, I got this sample data set. But when you're working with real data, you're like, Oh,

00:16:37I'm working with, you know, our staging data or production data or whatever data. So I don't know.

00:16:42That just seems weird. Um, just seems odd. All right. Machine learning. I'm not a machine learning

00:16:47expert. I recognize most of the things in here. So I can learn supervised classification decision

00:16:51sheets, KNN feature engineering, um, overfitting diagnostics. That one I'm actually, I mean, I know

00:16:58what overfitting is, but I don't know what overfitting diagnostics is. I can read into it. That

00:17:02seems fine. Um, Python, pandas, numpy, matplotlib. That all looks fine. Okay. Within SQL, again,

00:17:08this is something I talked about earlier, which is some people put like the actual things that they

00:17:13know how to write and they don't put the systems that they know. You can add more advanced things

00:17:18like window function CTs. Sure. If you want to add that, that's fine. I have no real problem with it,

00:17:25but adding like select queries, I wouldn't add that in. Maybe you use the system, right? Maybe you're

00:17:32used, you use my SQL or PostgreSQL or whatever it is. I'd replace that with this. Um, that it just,

00:17:41it sticks out. I'm like, it just seems odd. Um, yeah, that's fine. That's fine. Soft skills.

00:17:51Soft skills is fine. I personally don't include any soft skills. I don't really recommend putting

00:17:55soft skills because soft skills are hard to quantify. You can't, you can't really put them on a page

00:18:00and just expect people to understand, uh, to believe you. Soft skills are something that you

00:18:05experience in person, um, or in different communication via like emails and messages and

00:18:10stuff. So I don't include it now. This is all the first page. Um, and then we have a second

00:18:16and a

00:18:17third page. I would be cleaning this up just quite a bit before I get into the other things. I'd

00:18:22be

00:18:22condensing all of this into, you can for sure condense this into one page. My resume is one page.

00:18:29You can condense into one page. Almost all professionals can do it, do one page. Um,

00:18:36but here we have projects, supervised weather classification system. This is definitely the,

00:18:40okay. So here's where the project you were talking about. Um, and then again, if the,

00:18:46if this makes sense for this project, cause I didn't see this earlier, that may be on me. I didn't

00:18:50look

00:18:50ahead, but it stuck out. So now, um, you know, this might be a place where you're, you're

00:18:58quantifying it and you're explaining your process and that could be totally fine.

00:19:01I'm just looking at glancing through this. Um, these projects are super long. Uh, you're

00:19:07one project taking up almost half a page. It's, it's way, way, way too long. Even though this

00:19:12could be the best project you ever did, you can fit it, you can condense it down into like two

00:19:18sentences.

00:19:19Um, your work experience is actually really good. Why is this not like first thing you put right

00:19:31under your summary, boom, work experience. That's what you should be doing. I am not joking.

00:19:37This is the, you, so think about it like from a, uh, a hiring manager's perspective, they start at the

00:19:42top, they're going to start skimming down. They don't start at the bottom and go up. So starting at the

00:19:47top, the first thing they're seeing is, uh, this, which then they have to read through. It's a lot

00:19:52of text, a lot of hiring managers. Don't even look at that. They just glance. They're like, okay,

00:19:56but, but, but, but, um, uh, now they got the project. And then they finally get down to the

00:20:00work experience. You don't want them to have to guess. You want that front and center. The first

00:20:04thing you have, uh, I, I promise you that is what they want to see. Um, you also have a

00:20:11good

00:20:11background. Now here's what I would say for your education. If you're applying to jobs

00:20:16in this field where industrial chemistry is like, uh, you know, that's the field that you're

00:20:23applying for. This could even be near the top because that background could be super valuable,

00:20:29but if it isn't keep it at the bottom. So just, that's my feedback. Uh, you there's, so this is,

00:20:35you have such good information and good things in here, but there's a lot to read. This is like a

00:20:41two,

00:20:41three minute, uh, resume instead of like a 32nd resume. If you get what I'm saying,

00:20:46this is a ton of reading. And what you should be doing is you should be linking this. Cause I

00:20:52have

00:20:53your portfolio website over here. I'm going to pull that up in a second link to your portfolio

00:20:57website where they can go and look at it more. Cause if you kind of give them the highlights

00:21:02and you have a link to it, if somebody is really interested in hiring you, they'll click on your link

00:21:06and they'll have a lot more information. So not a bad resume just needs to be cleaned up, reordered,

00:21:13you know, squish some things into more condensed versions. I genuinely, now that you have all this

00:21:20written out, like you've used your brain to write it all out, ask Claude, ask Google, ask whoever,

00:21:27say condense this into like two sentences highlighting the most important things.

00:21:31That is like a great use case for AI went in resumes. It really is. So this is all great

00:21:37information. Just condense it. All right, let's bring over your website. And I think you had your

00:21:42portfolio website linked up here, which is great. Um, but also link it next to the project. All right,

00:21:47let's bring over the, uh, I don't, yeah, I don't think I have any, um, uh, great picture by the

00:21:55way.

00:21:55So here's all I'm going to say on the, at first glance, I really like it. I think it looks

00:22:01good.

00:22:01Although you're really highlighting this 98.2% accuracy. Again, I don't know if I were you though,

00:22:08I would, um, I may just keep it like this with just from a design point of view. I think

00:22:17you're

00:22:17highlighting this 98.2% accuracy thing too much for just a project, especially when you already have

00:22:22experience. I, you can use this for a few different things. One, just put links to your socials before

00:22:27having to, so they don't have to click on contact me. Um, you're just, you know, it's right up front.

00:22:32You want people to click on the most important things first. And to me, this is not the most

00:22:38important. I'd get rid of that. Um, so maybe social media, or you can even say, uh, you know,

00:22:43data analyst with X experience, you know, you know, rude, good at whatever you, I got to look at your

00:22:50resume again. Let me go back down to your, uh, your experience. Where'd it go? Um, using Excel,

00:22:58SQL and Power BI, right? Just super simple. Make it focus on you and not this project as what I'm

00:23:07trying to say. All right, let's go down. Um, listen, man, I don't know why I'm, this is everywhere.

00:23:14It's everywhere. I don't, maybe it's good. Maybe it's not. I don't know, but, um, this looks good,

00:23:21right? Let's look at the feature projects real quick. This looks beautiful. Um, I like how this

00:23:27looks just from a visual standpoint, but you have your GitHub, uh, repos. This is great. You have your

00:23:36case studies. I'm just going to click on one. Yeah, these are great. I, I really like this website.

00:23:43Um, it just needs to be a little bit, uh, cleaned up, just a tiny bit cleaned up, but you

00:23:53have a lot

00:23:54of good stuff here. I'm not going to go to the contact. Um, but I like this. I really, I

00:24:04overall,

00:24:04this is like a nine out of 10 portfolio website. Really good, really good website. All right,

00:24:11let's go to the next one. Um, awesome work. I mean, genuinely overall, even with the changes to

00:24:17your resume, your resume is still good. There's nothing bad about it. I'm critiquing resumes.

00:24:22That's what, that's what we're doing. Right. All right. Let's go. Whoops. Uh, let me see. How do I

00:24:30want to do this? Let me, give me one sec. I'm not going to pull this person's up right now.

00:24:40It has

00:24:41their face on it. Um, uh, and let me block out this thing before I bring it over. Um, some

00:24:48people

00:24:48sent in some awesome stuff. I just, you know, I don't know. I don't know if I want to include

00:24:52it.

00:24:52All right, let's look at this person's. I'm going to pronounce this. I'm going to butcher it.

00:24:56You can make fun of me. It's bengarambavi nagaraju. I did my best. And that's, you know what? That's

00:25:05all I can do. I'm going to get a sip of water real quick. My wife has had these mason

00:25:15jars for years.

00:25:17Never used them. Always use the smaller glasses. And then I was like, I hate going up and down the

00:25:23stairs getting water like three times a day. So I just got this bad boy. Keeps me hydrated all day.

00:25:32All right. Let's look at this resume. Um, first glance, it's very sterile.

00:25:43What I mean by that is it's all left side. It's very spread out. There is not much depth to

00:25:52it.

00:25:53So at first glance, I don't like the look of the resume. The content could be amazing,

00:25:58but let me give you an example. Benjamin's has sections. You have a little bit of text.

00:26:04You also have things going wide. He, I mean, this is not like a perfect resume,

00:26:10but you can see there's highlights. There is extra information here. There are bullet points,

00:26:18uh, that give some information. There's a work experience section and then come back to this one.

00:26:26It's very plain, right? There isn't much breakage. It's all just kind of flows into one.

00:26:31Visually. It's not good. All right. So visually it's not good. Let's look at the actual

00:26:35information that's in here. Um, and then we'll go from there. Data driven, uh, with data analysis,

00:26:42SQL. Yeah, this looks fine. I'm not a big fan of summaries myself. I don't have one in mine.

00:26:48Um, I didn't, I used to like when I first started up and then I got rid of it. Um,

00:26:53once I had any

00:26:53experience. So, uh, it's up to you if you want to keep it skills. All right. This section again is

00:27:00just formatted poorly. Look at some of the previous ones. Those had kind of better formatting. Data

00:27:06analysis, SQL, Python, Pandas, NumPy. Um, SQL is fine. You can always put like in parentheses,

00:27:12like you do here, put the difference, you know, flavors, PostgreSQL, MySQL, whatever ones you've

00:27:16used. Um, and that would be good. Microsoft Excel pillow tables. I have no problems with this. Um,

00:27:25I'm sure this was like on another line, um, data cleaning and transformation, data visualization,

00:27:30statistics. Okay. Let's get out of projects. Sales data analysis project. There's no link.

00:27:36Add a link to your project. Um, analyze sales data set to identify revenue trends,

00:27:40creative power. Okay. So this is the exact opposite of Benjamin's. Look how much information

00:27:48Benjamin has on his project. It's a ton of information. It's too much information in my

00:27:53opinion, too much information, but now we're going the exact opposite where you have almost

00:27:58no information. I'm, I'm using Benjamin's as a comparison.

00:28:06Not because his is the gold standard. It's not perfect, but I would rather it be like

00:28:09this than the other way. There are metrics. There's information on, you know, what he actually

00:28:16did. Um, and kind of an outcome. There's nothing here. You created a Power BI dashboard.

00:28:24Great. Put it in a website, overdo it rather than underdo it. Make a website like this and have

00:28:30code and have, I would rather you be doing too much than too little. And this is too little,

00:28:36um, customer turn analysis. Same thing. All right. Education, computer science and artificial

00:28:41intelligence, machine learning. Um, graduated 2026. You're a new grad. Congrats.

00:28:48Oh, my father-in-law is calling me. Give me a sec. I got to cancel out of that. Send

00:28:54a voicemail.

00:28:55Why is he not watching the live stream? Dave? Does he, does he not know? Does he not care?

00:29:04I don't know. All right. I'm moving myself down just a tiny bit. Uh, I, you know what? It's not

00:29:12that important. I don't know what I'm doing. All right. Um, and then certifications, Oracle

00:29:17Certified Foundations Associate. I don't know what that is. Introduction to Genova. Okay. So

00:29:25I have, you guys probably know, I have my own learning website. It's an ed tech platform. You can

00:29:31take all my courses. We give certificates. You can take the certification to go through our data

00:29:36analyst certification roadmap. I don't even really recommend putting that on resumes.

00:29:41It's not a recognized, right? This is for you. Like that platform is to learn. So is something like

00:29:47Simply Learn. They're just a learning platform like any other learning platform. And I don't recommend

00:29:53putting them on here because they have, they hold, they don't hold weight in the eyes of an employer.

00:29:58You may have learned a ton of stuff, but that doesn't mean you should put it on your resume.

00:30:04Um, it's the same thing with like Udemy courses, Coursera courses, all these different things.

00:30:08They're not really actual certifications. If you want real certifications, you get it from

00:30:14the company that creates it. Tableau, Power BI, uh, AWS, Azure. Those are the ones I recommend.

00:30:20I have them on my website, alexanalyst.com. That's what I recommend. And then there's a tools and

00:30:24technology section down here. This is weird. It's a very disjointed resume. Um, I would rate this one

00:30:31as like a three out of 10. There's a lot of things that could be done here. This shouldn't even

00:30:36be

00:30:36here. It should just be combined with the skills section. The project section is not very well,

00:30:41um, thought out or written out. It's very, it's too simple. And there isn't a link to anything,

00:30:48any portfolio, uh, or any project here. And I don't like the certifications education's fine,

00:30:54but certificate. So if you're watching this, if you are the out there right now, I'm not trying to be

00:30:58mean. This is just from a hiring manager's perspective. This is not a good resume. It's

00:31:04going to be really like, you would have to have like a friend or a family look at this resume

00:31:08to

00:31:08get a job with it. In my opinion, I'm just being honest. So what I would do is I would

00:31:15look at some

00:31:16of these previous ones. Look how there's look at, look at how Giroux, I think it's Giroux. Look

00:31:21at how Giroux is formatting this. Use this as your template. I have templates by the way, on

00:31:27Alexanalyst.com on analystbuilder.com. I have templates that you can use and plug in your

00:31:31information. So go and get one of those templates. This is just, I would say you, you tried to make

00:31:37this all yourself without using any help or template, but it's not, this is not going to help you get

00:31:42a

00:31:42job. So, all right, let's go to the next one. Now, I just, at first glance, by the way, first

00:31:51glance, the first thing I saw with languages, Java, JavaScript, HTML5, and CSS3, that is the

00:31:57first thing I saw when I, I literally haven't even looked at this up until the second. The first

00:32:02thing I noticed was that those are the languages that you chose to put on your resume. If this

00:32:06is a data analyst resume, I'm going to be like, this does not look great. I'm just telling you,

00:32:13it looks like, you know, probably a front-end engineer, full-stack engineers stuff. So it

00:32:22could be, I mean, it could be backend too. Depends on what you're working on. There's a lot of stuff

00:32:25in here on front-end and backend. With that being said, let's take a look. So got the career

00:32:33objective, Spring Boot, React.js, REST APIs. I mean, these are all good things. I know a lot

00:32:41of these things, but I don't have them on my resume. So maybe I didn't, maybe I didn't read

00:32:47this email. Maybe this is for like a software engineer or front-end developer or backend

00:32:51developer. I'm looking at this from a data analyst perspective. The only things that are sticking out

00:32:57to me right away are sometimes, you know, we have to work with REST APIs. We don't create them as

00:33:02data analysts or even data scientists most of the time, but we work with them. Yeah, React.js,

00:33:08Angular. Okay. The only thing, I mean, we have databases. The databases look good. MongoDB,

00:33:14great. PL, SQL, SQL, sure. These are all good. This is the first time we've seen this. So we have

00:33:19agile data structures, code reviews, debugging, generative AI, and LLMs. I have no problem with

00:33:24this. Yeah, I have no problem with it. Tools and DevOps. I mean, you have things like Docker,

00:33:31AWS, VS Code, IntelliJ. So, and get, gets great. But again, this is not a, this is not a data

00:33:39analyst resume. I'm just, just, you know, from my perspective, this would be a really hard sell.

00:33:45You're, you're, I'm not going to go any further in this resume. You're presenting this as a,

00:33:55maybe, I mean, maybe it's in here somewhere. Maybe I just didn't read it. Yeah. Delivering

00:34:00high quality software. So you're like a, it's like a software engineer. So this is not a good

00:34:05data analyst resume. I would recommend changing it or, or, or completely changing it if you want

00:34:10to apply for both. All right. Let's look at the next one. We have so many. I, I, I have

00:34:15only

00:34:15scratched the surface. We have so many to go and so little time. All right. Let me sit differently

00:34:25so I can hurt my knees because I'm getting older. Um, but I just feel like I need to sit

00:34:29different because my legs are feeling weird. All right. This is Howard Dang Nguyen. Um, San

00:34:36Jose, California education, San Jose state university bass, excuse me, business BS and

00:34:47business administration management information systems. It's a great degree. Love that degree.

00:34:52Um, but here's the thing glancing at this glancing at your resume. One, I actually couldn't figure

00:35:01out what this section was for a little bit. And I know that sounds weird because, but I'm

00:35:06looking down here and the first thing I was looking for, the first thing I was looking

00:35:10for is, does he have any experience? And the first thing I saw was your education, which

00:35:14is good. There's, I have nothing wrong with this. I'd probably take, you do have experience

00:35:20by the way, fits on one page. Everyone note that small text. I would get rid of this Coursera

00:35:28Google, um, one, keep the power BI data and else professional certificate. That's one of

00:35:33the ones I recommend. I've taken that one myself. I liked that.

00:35:36Um, and I used to use power BI all the time. So, um, really good and you can keep the

00:35:41course

00:35:41work in there. There's no, there's no problem with that, but education, your education is

00:35:46not as important here as especially this section, but your skills and your, um, your skills and

00:35:55your experience are 10 times more important, 10 times more important. So you know what?

00:36:03I'm doing it. I'm, I'm, we're getting rid of it. I think I can edit this. Can I edit

00:36:07this? Bam. And we're bringing it down here. We're bringing it at the bottom. I'm just doing

00:36:13it. I'm, I'm redoing your resume for you. Um, the other thing is, is I really would want

00:36:18you to put, I don't know why I couldn't, didn't start to do this earlier. I really want you

00:36:22to put like an education, not an education. This is experience, like an education, uh, experience.

00:36:28Oh, well, that's just ignore that. Um, an experience section. The reason being is I had

00:36:36to search for it and that is not what you want a hiring manager to do. You don't. Um, and

00:36:43this is

00:36:44the, you don't have to do this. I'm actually totally fine. If you put experience right here,

00:36:49I'm totally fine with you keeping this, how it is. I have no problem with that, but you

00:36:55can also highlight, since you have experience highlight, you're a data, you do like this

00:36:59data analyst, and then put the, the title of the company next. If you have a company that's

00:37:06really noticeable, right? Uber or Microsoft or, you know, M3 or something that somebody, any,

00:37:13like anyone would notice or right away, Walmart, right? Uh, Netflix, any, any company that people

00:37:20know, it's like a, it's like a name brand. You can put that first. I don't mind. Other than that,

00:37:25I do recommend formatting it like your title first. That's my preference. That's my preference,

00:37:34but you have great experience. I can, or I'm just glancing at this. I'm that you're working

00:37:38with Power BI, uh, EDP data, Databricks, SQL, DAX. You have such good, such good tools and

00:37:47information in here. Like this is really great. Um, this is a great resume. It needs a lot of

00:37:53formatting help. Um, format it more like, let me see, format it more like GRU's because even your

00:38:05technical skills are really difficult to read because I have to go in here and it's a wall of

00:38:11text or wall of words is wow. It's like, wow, that's a wall of words. You don't want that.

00:38:17This is hard to skim through. Give it some, you know, give it some structure to it.

00:38:26Oh, sorry. My, my father-in-law is texting me about my softball game I had last night and we

00:38:32won.

00:38:32And I'll have you note. Um, but have some format to it. Like I like this much more than I

00:38:39like your,

00:38:40uh, the one, the way you did it. Um, let's see this one

00:38:45or even like this, right? Just have it structured a little bit better. Cause this is hard to read,

00:38:51but you have great stuff in here. Not everything's great. I would take some stuff out,

00:38:56but even things like SQL, DAX, Power BI, Databricks, Excel, data modeling, data cleaning,

00:39:02transformation. These are all great things. Things I would take out personally is I would

00:39:06take out cost benefit analysis. Um, if you do that type of work, put that and highlight that

00:39:12in your experience. I don't think that's a necessary, it's not a hard skill that they're

00:39:18going to be looking for in this section. If you want to, you can just add like a separate note

00:39:22for

00:39:22it. Someone else did that. Um, someone else did that earlier. I can't remember who, um, other than

00:39:30that reorganize it, it, this, your resume is actually super, super strong, but your resume

00:39:37is bad. The resume itself, I'd give like a six or five or a six out of 10, but it

00:39:44could be

00:39:45genuinely. If you make this just a lot easier to read, format it better, switch around some

00:39:51sections. This resume could be a nine out of 10 easily. I'm not joking. So just work on that

00:39:57because once someone, once human eyes actually get to it, this, this could get through the,

00:40:03you know, the ATS systems, uh, because you have a lot of the keywords and things you're looking for.

00:40:08But when a human eyes get onto this, they are going to be searching. They're going to be a

00:40:12little confused and that's not what you want. All right, let's go on to the next one.

00:40:17Um, okay. Yeah. Let's take a look at this one. This one, I'm just looking at it for the first

00:40:23time. This is Tina Gatova. This is their personal information. I took it out. Um, oh, well,

00:40:31I'm going to take that out. Whoops. I don't know. That may or may not be important. I don't know.

00:40:35I

00:40:35should just going to get rid of it. Um, here we have, there was an email where they were. I

00:40:41would not

00:40:42personally include your birth date and place of birth. This could be a regional thing. Again,

00:40:49I'm reviewing it like a USA, uh, reviewer. I've almost never seen someone put their place of

00:40:57birth. In fact, I think it could be considered like age discrimination stuff from HR, you know,

00:41:05with putting that stuff on there. So then that, then people get worried. It's a thing. Um,

00:41:09but let's look at this. So professional summary, eight years of experience in banking operations,

00:41:15cost optimization. This all looks good. SQL, Excel, Power BI, multilingual, internationally

00:41:20trained with proven success. This all looks great. I like this. Um, core competencies, financial

00:41:27analysis, uh, budgeting, CapEx, OpEx, cost control, SQL, Excel, Power BI. Um, and then work experience,

00:41:36regulatory compliance, multicultural data driven. Um, I'm pretty sure this work experience is meant

00:41:42to like cover this. I think Google docs did a number on this resume. So just ignore some of the

00:41:47formatting issues a little bit. Um, this is in Macedonia. So 2020 to present. So past six years.

00:41:53Um, and I don't know what this job is. Freelance work. This says, Oh, payment system. There it is.

00:42:04Payment system, uh, division officer in self-service department at LNLB bank, uh, scope J. I don't know

00:42:11if I said that right. I probably didn't. Um, okay. So again, this is more of a formatting issue. I

00:42:19think

00:42:19you have great experience in here. Just looking at this, you have eight years of experience.

00:42:24There's a lot in here. It's just really hard to understand and read. And if you sent this in

00:42:31and this is your resume and you sent it in, it looked completely different than this because

00:42:36Google doc messed it up. I don't think it did though. Um, if I remember when I was opening it,

00:42:41it didn't look that far off. So again, I say this from a USA perspective, this is very formatted,

00:42:49super weird. There's no bullet points. It's all like, I don't know where to look. I just don't

00:42:55know where to look. I don't know where to, what I should be looking at, but you have such an

00:43:01immense

00:43:02amount of experience here. Um, and it looks like you started in 2017. Yeah. So eight plus years is

00:43:09totally fine to say. So it looks like you have nine years experience about, um, yeah. And keep

00:43:16these small, keep this one big. I like that. Um, I don't know all of this, these different softwares

00:43:23or, or tools that you're using. I'm sure they're, you know, very common where in the industry that you

00:43:27work in. Um, but this take, take all of this and get rid of a lot of this stuff, at

00:43:35least for the USA,

00:43:36get rid of like all of this, just get rid of it. Um, uh, I was trying, I was going

00:43:43to try to fix this

00:43:43up a little bit, but I'm not going to, cause I'm going to end up messing it up, but have

00:43:46your work

00:43:47experience title over here. I like that you have it divided. It just needs to be like, this is too

00:43:52much. I, I, I don't want to read. I don't want to read all that. I might, if you had

00:43:57it like bullet

00:43:57pointed and kind of organized better, but it is tough to read. It is tough to read. Um, but you

00:44:03have

00:44:03such good experience. So overall, again, this is just a formatting thing from, in my opinion,

00:44:09you need to present your information a lot better. Um, and, and this could be a really

00:44:16strong resume. All right, let's go to the next one. All right, this is Luang Hoi Kit data analyst.

00:44:25So we have a summary here. Now let's see if it fits on one page. It does. There's a lot

00:44:29here.

00:44:31And so fits on one page. That's good. Um, here's our summary. Um, geomatics. I don't even know what

00:44:38geomatics is, but that's a bachelor's degree. Geomatics. All right. Um, you're in Hong Kong.

00:44:45I think you're in Hong Kong. Daniel's position at one degree. Hong Kong. Very cool. I've been to

00:44:49Hong Kong. Hong Kong is amazing. Uh, loved it. Let's keep going. Um, so you have a, let me, I

00:44:58think

00:44:58this goes like great like that. Here's what I'll say. This is too much. Uh, and it's very small

00:45:05point. Like imagine if this was like a 10, right? Or I think 11 is like, you know, standard, but

00:45:11let's

00:45:11go even down to nine. This is just too much information. You can condense this down to like

00:45:17three sentences and you'd be way better. You're trying to include basically your whole resume.

00:45:21It looks like I see so many things in here. It's, it's, it's just too much. It's way too,

00:45:28way too much putting into this summary. Um, the summary should be a quick highlight. Um,

00:45:35you also have work experience in enterprise information governance and data integrity and

00:45:43quality validation. Um, so survey officer land graduate survey. Okay. Interesting.

00:45:50Manage this systematic verification technology. So I'm looking at this cause I'm not sure.

00:45:57Yeah, this isn't, this isn't, um, okay. So when I think of a, when I'm looking at this resume,

00:46:06I'm actually not judging it based off of its data analyst resume or not, or data analyst, uh,

00:46:11experience or not because he has a very specific degree. Okay. And then your technical additional

00:46:18information. Okay. Interesting. All right. His background is in geomatics. Now let me Google

00:46:25geomatics real quick, just so we all are on this geomatics. Geomatics is the modern discipline of

00:46:30gathering, processing, and analyzing spatial referenced geographic data. That's a very specialized

00:46:37type of data analysis. I'm not even familiar with it, but that's, I mean,

00:46:41that's just in real life in the real world, there are all these really niche specializations that

00:46:46this background right here could be incredible for. Like, I'm sure it is just glancing at it.

00:46:53It looks like you were doing, uh, you know, some types of data analysis with this. And that's just

00:46:59what geomatics is. So with that being said, um, I think you have an, um, uh, a really strong resume.

00:47:08Um, this project section is not good. I would put that even below this because your education is

00:47:19super strong in this, in this area, right? So this would go, I would, if you're going to keep the

00:47:25summary, keep the summary. I would go straight into work experience, then your technical skills,

00:47:31and then your education, keep your projects and additional information. Keep,

00:47:38keep that down at the bottom. Um, also I have not looked at my chat even once during this time.

00:47:45I'm

00:47:45sorry. Um, but if you, if you're just, um, if you are just joining, you know what I should have

00:47:56done?

00:47:56And I should have put the links in the, in the description. If you're just joining, I'm reviewing

00:47:59resumes and, and, and portfolios. We've gone through many, as you can see, I have, I need to do like

00:48:05another two or three of these live streams. Maybe I'll do it. Maybe I'll do a whole stinking week of

00:48:10this. This could be, that could be really fun. I'm enjoying this. I like reviewing resumes. Um,

00:48:15but keep it nice. Be, be polite. I'm giving constructive feedback, um, and kind of rating them.

00:48:22Um, I would say genuinely, even as is, this is a solid six out of 10 resume. You can make

00:48:30this

00:48:30resume, your experiences like for your industry, for your background in, in this area is a 10 out

00:48:36of 10, 10, 10 out of 10. I'm not even kidding. Great experience, great education. Um, from a USA,

00:48:45like if you were trying to get a job in the U S right now, this resume is really, I've,

00:48:49you know,

00:48:49I've kind of changed it up a little bit. It needs work. It just needs to be written. Like this

00:48:54is too

00:48:55much information just in, in like a narrative format. Almost needs to be broken up. Use, use some

00:49:05go like this, do it like this. If you did this with your information, it would look so much better,

00:49:12so much cleaner. Um, and I'd be able to skim it faster, which is, you know, unfortunately pretty

00:49:18important. Um, as it pertains to projects, you have such good experience and you have such good

00:49:26education and good technical skills. Like I'm, you know, Python, SQL, AWS, Azure, Power BI, Tableau,

00:49:33Gemini Copilot, Grok. You have such good experience. Like technical skills should be up here.

00:49:39It should be above, even above your education if you want to, or it could be right under your summary,

00:49:44whatever you want. But you need to highlight the best things first and your projects are,

00:49:50should not be at the top. Um, and they're not formatted well. I personally, if I were you,

00:49:56I would just get rid of it. Just get rid of it. Um, you know, Cantonese and English. That's wonderful.

00:50:04Uh, and Mandarin. Okay. Which, okay. So I'm not an expert, but Cantonese and Mandarin are both spoken

00:50:12in, I believe mainland China, but just different groups speak. And a lot of people speak both.

00:50:19Um, that's, that's just limited, uh, knowledge and you're available immediately. So you have,

00:50:26I would say one of the stronger resumes for your niche because you've niched down now.

00:50:31And that's a fantastic thing. Like my niche was healthcare. So in healthcare, my resume is like

00:50:36a rockstar, but if I was trying to go to like finance or other things, my resume wouldn't be super

00:50:41strong in this area of geomatics. You are like a rockstar. You're great. This is a great resume.

00:50:47So really, I genuinely, I really do like it. All right, let's bring over the next one.

00:50:55Michael, uh, hash, heesh, Michael hash. Give me a second.

00:51:04Is my live stream still working? Okay, great. Just checking. I'm just checking. Um, by the way,

00:51:13if you want free resume templates, which I highly recommend, if there's one thing I've learned from

00:51:18reviewing these resumes is that a lot of people are just not formatting it. Well, they're not presenting

00:51:24it. Well, they, a lot of these people have great skills. They have great projects. They have great,

00:51:29um, you know, even, uh, uh, experience. They're just not presenting it. Well, and that is a killer

00:51:37when somebody actually gets their eyes on it. Your resume might have the good keywords to get through

00:51:41the ATS and get in front of a hiring, uh, manager. But then when they start looking at it,

00:51:47it's, uh, not the best well-designed. Now, I'm not talking about Michael's yet. We haven't gotten

00:51:52his. I'm just saying, um, if you want a good template, I have alextheanalyst.com. I'm going

00:51:59to put it in here. Alex, the, and I'm putting in the, uh, in the comments, alextheanalyst.com

00:52:10and analystbuilder.com. Alextheanalyst.com is a website where I just have tons of information.

00:52:19There's, um, you know, resume, portfolio information, all sorts of stuff. And, you know,

00:52:25a lot of people go on there and they just take the templates, do it. Analyst Builder is my paid

00:52:30platform. I have all my full courses. Um, but I have a section called resources where I have blogs

00:52:35that I've written and, and, um, there's also resume templates. You don't have to be a member

00:52:40to get them or you don't have to pay to get them. They're just free. So go and use them.

00:52:44Like

00:52:46if there's one thing I'm realizing is that more people need to be using those templates, um, because

00:52:51the, the, the last thing you want is to have a really strong resume and know you should have a

00:52:58job,

00:52:58but your resume is not good and you don't get a job. Like that is so infuriating. Um, it's really

00:53:04frustrating. All right, let's look at Michael's. We'll be able to do like two or three more.

00:53:09I genuinely, I had over 150 or so people send me their resumes and portfolios.

00:53:18I won't be able to get to them all. We're, I, we only got a couple more. I think what

00:53:22I'm going

00:53:22to do is next week, I'm going to schedule maybe two or three more of these because I have other

00:53:27things going on, but surprisingly next week I'll be able to fit in. I think I can fit in a

00:53:31few more.

00:53:32I don't know the times I have to look at my schedule, but I think this is super necessary.

00:53:37Um, and so let's look at this one. This is Michael's, uh, summary detail oriented analytic

00:53:43data professional skilled in SQL, Python, Excel, Tableau, and Power BI, uh, strong ability to

00:53:49transform raw insights and clean visuals. Okay. Um, there's just a lot of words. It doesn't

00:53:56actually tell a lot about you. This piece, I'm going to highlight this, this piece

00:54:02gives me very little information. Um, all, this is the only one that I would keep in there so far.

00:54:10Um, but you're an associate technical IT, IT desk analyst. I mean, you have some, I'm going to look

00:54:18at that in a little bit, but you have some good, um, experience. You're just not presenting it well.

00:54:24I can just tell you this, this needs to be, all of this needs to be revised because you're giving

00:54:28just not useful information. Essentially. Um, let's look at the technical skills, Excel,

00:54:34Google Sheets, SQL, Tableau, Python, um, Tableau. You have Tableau in there twice.

00:54:41Yeah, that shouldn't be in, you don't need to add almost anything in there twice. Python for reporting

00:54:46and KPI tracking hypothesis testing, probability descriptive inferential statistics, data engineering

00:54:51workflow, uh, relational database, ETL basics, and getting GitHub. Um, this is too vague.

00:55:00I wouldn't put that your basics at ETL. I would just get rid of that. Um, but then if you're

00:55:06saying

00:55:06ETL, what tool are you using? Because if they use that specific tool and they see that on there,

00:55:12that's great. So you can put ETL and then in here put, you know, AWS glue or whatever you use.

00:55:18There's a hundred different tools out there. I've used like 20 of them. There's hundreds.

00:55:23So just, you know, name a few, um, that would be way more useful. Uh, I'd ruin, I'm ruined. Now

00:55:29it's

00:55:29going to look like that. Don't worry about that. Don't worry about that formatting. I don't mind your

00:55:32formatting at all. And I really don't. It's just suit your resume is super long. It's your,

00:55:37you could 100% keep this on one page, a hundred percent. You just need to, you know, uh, format

00:55:43a

00:55:43little bit. Let's take a look at your experience real fast. So it looks like you worked up until

00:55:49March, 2025 diagnosed and, uh, as an associate technical support specialist. Um, so this is

00:55:57like technical support through, through this company, um, Telebox and that's fine. That's no,

00:56:03that's no big deal. Cybersecurity intern, IT support desk specialist, IT support desk analyst.

00:56:13Um, and then you have a good experience, uh, bachelors in mathematics. Here's what I'll say.

00:56:18And then I don't know, these ones I would just get rid of. I would get rid of this. Actually,

00:56:23I get rid of this whole thing just because it's not useful. It isn't, um, CompTIA. That's good for

00:56:29what you're currently doing. So what I'm seeing is, is it looks like you have a little bit of

00:56:33experience, um, in something kind of day, data analyst related. Um, but other than that,

00:56:43it's mostly like IT work, which is not a bad thing. A lot of people do that, right? A lot

00:56:47of people work

00:56:47in a certain industry and it's data analyst adjacent. Um, I used to work with IT people all the

00:56:53time and I, you know, they, they work with a lot of data. So you're telling what you actually

00:57:03do and that's fine. Highlight the ones that are relevant to data analysis. For example, now, um,

00:57:11uh, analyze the alerts to identify potential threats. It can be good. You need to give them

00:57:19some more information because unless again, this could be really IT specific where someone who's

00:57:24in IT is going to look at this and be like, Oh, that's great. We need that. That's what you

00:57:29want

00:57:29to do. You have an, you're in a niche of IT and data. Uh, and so you, if you're going

00:57:35to lean into

00:57:35that, you need to lean in heavier, heavier, or if you're not, you need to be more, um, specific

00:57:42in just how you're analyzing data, what tools you're using in this job. I don't know what tools you

00:57:48use or how you do your work or what you do to get done or what you've actually done. I,

00:57:52you know, they're, they're like ideas, like overall I've done this, but what does it actually

00:58:00look like? Are you using any tools that anyone would recognize? Um, is there anything you've

00:58:05actually done in the job that can be, um, you can create into some type of metric? Um, it's just,

00:58:13it's, it's kind of generic. All I'm saying is, is this is very generic. And what I would

00:58:18do if I were you is I'd be much more specific. Um, same thing for all these other ones.

00:58:25Yeah. Same things for all the other ones. I mean, I guess this is managed accounts. Yeah.

00:58:32I wouldn't even, I don't know if I, I don't know. It's just when I'm looking for somebody

00:58:39who's transitioning from an IT to data analysis, I would want, and I don't see any projects or

00:58:46anything. I would want some evidence that you are using these muscles. You're not just saying

00:58:54I'm an IT professional and now I'm, you know, I want to be a data analyst. It's I'm an IT

00:59:02professional and I've been doing data analysis, you know, whether through projects, if you aren't

00:59:07in your job, whether through projects and you're, you know, you're passionate about it or in your

00:59:11actual job and you have these tools and skills, like include that information. I spend way too much

00:59:17on this, uh, resume. I apologize. I don't apologize. The guy who's, um, what it is, is, you know,

00:59:24happy about it, but all right, let's go, let's go to one of our last ones. This is Eric Otuoma

00:59:32and glancing at this resume, kept it on one page. I love that. This could be, uh, an issue with,

00:59:42I think it was probably like this. If it wasn't, if it was all like how it was before that,

00:59:47that's not

00:59:47good. Um, you have a ton of skills, almost too many. Um, and I don't say that often, but even

01:00:02I

01:00:04having used as many tools as I've done, I don't think I've, I mean, maybe you just, how long you've

01:00:10been working since 2020 since, so six years and you've been a data analyst, a lead data science

01:00:19trainer, interesting at Google. Oh, okay. So that's like a club. Okay. Uh, stack up remote data

01:00:26scientist and a data scientist, uh, to present, uh, first off, fantastic experience. Congrats on the

01:00:34good career. Cause this looks great. Um, but these skills, I mean, this is a lot of skills.

01:00:43Honestly, it's almost too many. Um, and I say that with all love and respect, maybe you have all,

01:00:49you know, everything in here really well, like you're an expert in all these, which is your brain is far

01:00:55beyond my comprehension, but even somebody who knows all these skills, it does not mean you have

01:01:05to put it on your resume. So if you're applying to data science jobs, maybe you filter these down to

01:01:11just data science jobs. If you are working on data analyst jobs, maybe you cut a lot of these

01:01:18machine learning and AI, deep learning, natural language processing. I mean, I know, I recognize

01:01:24most of these things, but it's almost, it's just, it's a lot. It's just too much. I say that with

01:01:32all

01:01:32love. You could, you could, I don't know you personally, but you could be Elon Musk level. I would still

01:01:38recommend getting rid of like half of these, like genuinely cutting this down. What you can do, plug, copy

01:01:44this, plug this into chat, GPT, Google, uh, gem, not Gemini, Gemini is Googles, any AI and just say,

01:01:53I'm applying for a data science position. Which of these skills should I keep, um, to, to make this

01:02:01smaller? And it will help with that. That's like a great use case for resumes for using AI. It really

01:02:07is. So, uh, let's look at your education. Um, university of agriculture and technology,

01:02:15actuarial science. Yeah. So you got one of them big brains. You're very smart. I just from,

01:02:20you know, you went through data camp. That's great. Just from your work experience, just from your

01:02:24skills. I can tell you're a smart guy, but you need to kind of optimize for readability.

01:02:37Because when I'm looking through this, I am overwhelmed. I'm getting, I'm having a panic

01:02:42attack because it's too much. Um, other than that, I actually don't have a big problem with

01:02:49how you did this. Just to keep it small, you may consider just formatting it like a little bit in,

01:02:56this could be me. This could be from, um, Google drive or whatever it is. Um, but formatting it

01:03:03like this, you, again, you, if you had it like this, then this looks a lot better, a lot better.

01:03:08Um, all right. I'm going to look at one more, but I like how you have the, you know, if

01:03:15you want

01:03:15to switch these around, highlight data scientists first, you can no big deal. Other than that,

01:03:22great experience. Um, I didn't really look at the career summary. I wouldn't, if I was a hiring

01:03:27manager, I would, I wouldn't even read that. I would just get rid of this. That's just me.

01:03:32You're, you have such strong experience. Just lean into it. Lean into it, Eric. All right. Um,

01:03:42the last one that I'm going to do is going to be a portfolio website because we haven't done enough

01:03:49of those. All right. We have Madivoli Garisham. So this is, uh, a, uh, data analyst website built

01:04:01on Wix. I have no problem with that being there. Uh, you have to pay to have it, your like

01:04:05own domain

01:04:06and all these things. It's free to make it like this. So I have no problem with that. Um, about

01:04:10me results driven with an MBA, especially in converting data sets, uh, provision and power

01:04:16BI SQL. Okay, good. All looks good. Previews. Oh, this is a video. All right. Let's check

01:04:24this out. I don't know if it's going to play the audio when it plays. Yeah, it's not playing

01:04:31audio. That's fine. Let's just skip ahead. Um, this is in, this looks like a old kind

01:04:38of an older version of power BI. Um, this isn't bad. It just, uh, you know, if you're

01:04:46talking and you're saying, and you're narrating this, I actually really like having a video

01:04:51on here. This, if some, if I were to come to this guy's, uh, uh, portfolio website and

01:04:57I saw a video here, I would be clicking on it immediately. Cause I'd be like, okay, this

01:05:02is super interesting. And if you have good communication skills and you talk well, like

01:05:08that is such a boost. Like I love that idea. I think it's great. Um, photos, it's just a

01:05:15photo section. All right. This, I don't like as much. Um, you're kind of taking like, it's

01:05:23not bad. I know power BI, you can't share stuff. I actually, now that I'm looking at it, I don't

01:05:27mind it as much. Usually better photos. Um, and maybe what you can do is have some narration

01:05:33under this or have some text under this. You're explaining it because you know, it's a lot.

01:05:39Uh, and this is just my, uh, you have a lot of text in here. That's just fine. This is

01:05:43my

01:05:45personal opinion is that if you're going to take a screenshot, you don't want it, or not

01:05:50even just a screenshot. If you're going to put a portfolio out there, there's too much going

01:05:55on in this. It's very busy, right? Like actually this one, I don't mind. Cause this actually

01:06:01looks pretty realistic to like the real world, but you won't see this in like an actual company.

01:06:08Most companies won't do it like this. So, you know, just take that into consideration. And

01:06:12then, uh, there's contact information at the bottom. I would, this is not bad. I actually

01:06:17don't mind this. The, the video I think was a really nice touch. And then you have all your

01:06:21socials on the, on the bottom and the contact at the bottom, uh, or on the side. And then at

01:06:25the

01:06:25bottom, I think this is solid. I don't, uh, this isn't the best photo I've, I've ever seen. You seem

01:06:31like a really handsome guy. Um, but this seems like maybe it was like a selfie or something.

01:06:35And it's really big. Um, I'm not trying to compare, but I like this one better where it's

01:06:41just small. It's small and to the side. Um, I don't mind your website at all. I just think your

01:06:46face

01:06:46is huge. Uh, make it smaller, make it like this size. Like if it was like that size,

01:06:54that'd be a lot better. Um, or something like that, whatever you want. Um, but not bad. Hey,

01:06:59I would say this is a pretty solid overall is a pretty solid, um, website. The website itself

01:07:06could be cleaned up. It could be a little bit more polished, um, but solid, like six out of 10.

01:07:11I'd rate that a six out of 10. I don't think it's bad. All right. Um,

01:07:16let me come back here. All right. This is me again. Hello everyone. Um, all right. So we've

01:07:23been going for over an hour. What I have learned, um, and I'm going to have to, I'm, I'm meeting

01:07:31this

01:07:31person. Uh, what I have learned is I take a long time to review resumes. I need to get better

01:07:38at that.

01:07:38I apologize. What I also learned is there's a big need for resume and portfolio, uh, reviews.

01:07:46I'm learning this, what I'm going to do. And I'm not joking about this. I wasn't joking about it

01:07:52earlier. I am going to put more time next week to do more of this. I think there's a big

01:08:00need for this.

01:08:01Um, and the feedback that I've gotten is, has been a lot like, uh, from, I got, there's still

01:08:09people sending in emails. Now I can, I can see them. So I think I'm going to do this again

01:08:14to cover

01:08:15more of those people who I didn't get to, or just more people who want to send it in. I

01:08:19think this is

01:08:19a really needed thing. And then next time I'm going to have more resources on where to go and what

01:08:25to

01:08:25do. I will put this again in the description, Alex, the analyst.com. I'm putting this in the

01:08:33comments, Alex, the analyst.com and analyst builder.com. Both of those have templates for your

01:08:43resumes. Um, on my YouTube channel, I have full videos on how to build a resume, how to build a

01:08:50portfolio website. Um, I have one where I show you how to do it with coding. I have one where

01:08:56I show

01:08:56you how to do it with, um, Wix. And so this guy used Wix. And so use those resources. Cause

01:09:03what

01:09:04I'm seeing is just a lot of, a lot of people have good experience or good projects or all these

01:09:10things.

01:09:10They just don't display it well. And when a, when a hiring manager actually looks at your resume,

01:09:16that's going to be a problem. They're going to be like, this doesn't look good.

01:09:19This is very disjointed. I don't even want to read this. Some of them, some of them I looked at

01:09:24and I hate, it was like a three out of 10. You have great information. Just did not look good.

01:09:30And I wasn't trying to be mean. I was just trying to be honest, trying to be helpful.

01:09:34So I hope that I didn't hurt anyone's feelings. I hope that it was useful. I'm looking at, uh,

01:09:39the comments now, Alex. Thanks, Alex. Hope you knew more of these. Um, yes. If you haven't,

01:09:45I have my email in the description, go and send your resume to my email. Um, I'm not going to

01:09:51respond to you, but I, uh, the next time I, next time I do the live stream, if I choose

01:09:56yours,

01:09:57then there you go. Um, yeah. And I think someone, someone just said this, who said that? Uh,

01:10:03sataric six, even just watching other people's resumes. Awesome.

01:10:05Um, building resumes, building portfolio websites, building projects. These are skills. Um, a lot

01:10:13of people just try to just plop it on a page and they think that's enough, especially in today's

01:10:19market. It's not enough. So I hope this was helpful reviewing all these. I think we got through maybe

01:10:24even 10 or 15. I wish I would've gotten through a lot more. I, yeah, I gotta get better at

01:10:29going

01:10:30faster. Maybe I'll set like a time. I'll set like a timer. I'll set a timer next time. Maybe like

01:10:34two

01:10:34minutes per one. So I can at least get through like 30 or 40 resumes. Um, with all that being

01:10:39said, I really enjoyed this. I hope it was helpful. Uh, what I will say again is some of

01:10:44the feedback could be USA specific. I only have ever hired, you know, gotten hired and worked in

01:10:50the U S if some of the feedback I give you is not something that's popular in your region, then,

01:10:56you know, just take it with a grain of salt. That's all I have to say. Um, with that being

01:11:02said,

01:11:02I had a lot of fun. I thought these were really great starting resumes to look at. I hope you

01:11:06guys

01:11:07learned something and, uh, we'll be, you know, we'll be doing more of these. I, I think,

01:11:14I think that there's a need there just from what I, the feedback that I've been getting,

01:11:17there's a need for this type of, of content. And so I'm going to try to do some more live

01:11:22streams.

01:11:22I may even make another, uh, video just on resumes and portfolio websites as a whole again,

01:11:28to update it. I don't think I've made one in a couple of years on this topic. And so they

01:11:33might

01:11:33be getting out of date. Um, all the information is still good, but you know, I just like keeping

01:11:38things updated with that being said, thank you guys for joining. Um, if you have questions or if

01:11:47you have comments or if you have anything, shoot me a message on LinkedIn. That's where I'm most active.

01:11:52I don't really respond to things on other platforms. I do X, X and LinkedIn. Those are

01:11:56the ones I'm on the most. Um, I don't really, I get a, I get so many emails that I

01:12:03can't really

01:12:04respond to most of them because it's just too many. So if I get a message on LinkedIn or X

01:12:09where

01:12:09it's a quick response, I try to do it. I try to do it. I try to help you guys

01:12:13out. So thank you

01:12:15guys for joining. I'm going to try to set up another one for next week because I think, uh, I

01:12:21think

01:12:21you guys next week. Thank you guys for joining and, uh, yeah. Awesome. That's it.

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