Data Career Jumpstart

🚀 Helping professionals break into data science 

Data Career Jumpstart is an online, data science school designed to teach you data science by doing practical, personal projects, enabling you to build an online portfolio that blows recruiters minds 🤯

Data Scientist

Data Analyst

Check this out at Data Career Podcast wherever you listen to podcasts!

Podcast Host

MIT Professional Education

Data Engineer

Snow Data Science

⛰️ Snow Data Science is an analytics firm that provides data solutions

📫 Send me a DM if you’d like to learn more about our services

We offer the following services:
▪️ Machine Learning 
▪️ Data Visualization
▪️ Algorithm Development
▪️ Data Sourcing
▪️ Data Cleaning
▪️ Dashboard / Web App

ExxonMobil

- Developed tool to make automated, data-driven decisions to improve capital planning ($330M/year)
- Created enterprise-wide web application via cloud computing to democratize manufacturing data to all engineers 
- Lead US wide analytics interest network of 200+ providing advice, expertise, and training
- Modeled complex supply chain processes that include 3,000+ variables to provide economic clarity via predictive analytics
- 3x company-wide data analytics competition champion that included 100+ participants

Vaporsens

- Implemented machine learning and advanced algorithms to identify and quantify unknown chemicals
- Solely responsible for all analytics in startup company
- Generated 30% revenue growth through convincing data visualizations and customer relations
- Performed and presented data analysis to Fortune 500 companies to secure collaborations

University of Utah College of Engineering

- Published first-author paper in International Federation of Automatic Control’s special issue Intelligent Manufacturing Systems (see link to read paper)
- Created new algorithm for clustering sensor data with over 1 million data points
- Constructed novel process to perform outlier detection in large industrial systems utilizing machine learning

Big Data Researcher

🖥️       Developed tool in Python to make automated, data-driven decisions to improve capital infrastructure planning and spending, providing an estimated savings of $330,000,000/year
🧮        Investigated complex mathematical refinery models to ensure accuracy in making crude oil acquisitions

Optimization Engineer

Machine learning and statistical data analysis 
-	Understanding of complex statistical strategies and strong critical thinking methods. 
-	Innovation and implementation of advanced algorithms for chemical sensing system to identify and quantify unknown chemicals applying machine learning and data analysis tools and methods.  
-	Programmed own data analysis pipeline and edited and updated chemometrics package from past chemomitrican to perform key calculations and capture vital data. 
-	Development of unique chemical fingerprints and chemical library. 
-	Assistance to engineering side through microcontroller production and coding for flow measurement and device communication used in future commercial products.

💽   Built bio-chemical organic semiconductor sensors 
☠️  Handled dozens of narcotics and explosives 
🧐  Lead quality assurance initiative to ensure $60k in product worked properly
🧬   Conducted 100's of complex experiments

R&D Engineer

University of Utah College of Science

☺️   Worked for free, part-time for 3 months. I owe everything good in my life to those 3 months.
🌎  Conducted scientific experiments for Doctor Sohn’s Iron Novel Development Lab
🔬  Used ICP-MS to analyze chemical samples for purity
📉   Performed data analysis in Excel to ensure high quality

I worked for free, part-time for 3 months. I owe everything good in my life to those 3 months.

Laboratory Assistant

I help people land their first data job within 90 days

Hey! I'm Avery! 👋🏻   My mission is to help working professionals break into data science. Let's connect!

🚀 Creator of Data Career Jumpstart; the data bootcamp that helps you start your data career by building an online portfolio full of projects!
Course includes: 
1) Data Skills (Python, R, SQL, Data Viz, ect)
2) How To Do Projects & Build A Data Portfolio 
3) How To Build Your Personal Brand 
4) How To Land Your Dream Job That Is Remote, High-Paying, and Fun 👩‍💻👨‍💻

📧  Sign Up To Get Updates: DataCareerJumpstart.com!

⛰ Running an analytics firm called Snow Data Science where we take on all sorts of data projects. From building custom dashboards, to predictions via machine learning, we are helping organizations utilize the power of their data. Have a project in mind? Send me a DM. Or visit, SnowDataScience.org. 

🏀   Landed a project with the Utah Jazz via LinkedIn post

⛽   Ex-ExxonMobil Data Scientist: solved complex supply chain problems, made beautiful data visuals, and taught data science to 300+ engineers! 2x company wide analytics champion. 

🔬 I fell in love with data at Vaporsens. I was hooked on finding meaning and insight from their chemical sensor data. The feeling was addicting. I felt like a super hero. I've never looked back.

📕 First author published as undergrad in IFAC. Novel research on anomaly detection in manufacturing data using machine learning. Feel free to read: https://www.sciencedirect.com/science/article/pii/S2405896319309073

📊 I am obsessed with data. Don't believe me? My dog has her own fitbit 🐶 My iPhone app usage has a dashboard 📱 My Chick-Fil-A visits are already predicted for next month 🐥  I run, breath, and sleep data 📊 What more proof can I give? 🤪

💬 Message me to talk about: How to break into data science, how to build a data science portfolio, and how to build a personal brand. 

Find me on:
🌐  DataCareerJumpstart.com
💻  GitHub: https://github.com/AveryData
🎥  YouTube: AVery Data
📷 Instagram: https://www.instagram.com/datacareerjumpstart/
✏️  Medium: https://medium.com/@averyjs
🎉 TikTok: @verydata

📧  Sign Up To Get Updates On My Latest Course: DataCareerJumpstart.com!

Avery Smith

Learn Data Analytics here: Matt Mike 
Learn Data Science here: Dawn Choo 
Learn Data Engineering here: Zach Wilson
Learn Statistics here: Joshua Starmer PhD
Learn Python here: Luke Barousse
Learn Excel here: Matt Brattin 
Learn Tableau here: Andy Kriebel 
Learn Data Visualization here: Cole Nussbaumer Knaflic 
Learn Data Storytelling here: Brent Dykes
Learn Data Interviews here: Nick Singh 📕🐒  
Learn Business Intelligence here: Alex Freberg
Learn Salary Negotiation here: Sundas Khalid
Learn Data Governance here: George Firican
Learn Data Strategy here: Vin Vashishta
Learn Data Freelancing here: Benjamin Rogojan
Learn Data Contracts here: 🎯 Mark Freeman II  


👉 Learn How to Land Your First Data Job here: https://lnkd.in/eYZh7_-U 👈



♻ Repost to share with others
🔖 Save to revisit down the road
💬 Comment anyone else I missed!

Founder @ Data Analytics Accelerator - I help people land their first data job (even with no prior experience)

Dear all, tomorrow is December. 

Here's a 30-day FREE "Become a Data Analyst" study plan for you: 

December 1: Roadmap - https://lnkd.in/eHpVVEmh
December 2: Skills - https://lnkd.in/efiG9Yyr
December 3: Entry-Level Jobs - https://lnkd.in/ewCuVdFv
December 4: Get Paid to Learn - https://lnkd.in/ex9ztUex
December 5: Best Locations - https://lnkd.in/eBUfEuBb
December 6: Data Jobs Dying? - https://lnkd.in/e7WUqhnr
December 7: Break
December 8: Get Ahead - https://lnkd.in/eAKEqBAr
December 9: Best Books - https://lnkd.in/eajhbnPr
December 10: Data Storytelling - https://lnkd.in/edAx7wbq
December 11: Break
December 12: Healthcare Analytics - https://lnkd.in/eFp5YaWH
December 13: Google Cert - https://lnkd.in/eJ5UK2Ud
December 14: Break
December 15: Data Salaries - https://lnkd.in/eXNdFpPZ
December 16: Finding Jobs - https://lnkd.in/ehJ9EaWt
December 17: Cold Messages - https://lnkd.in/ehJ9EaWt
December 18: Find Datasets - https://lnkd.in/emEJR7Vf
December 19: Learning Ladder - https://lnkd.in/eabdThfs
December 20: Hiring Process - https://lnkd.in/emdprJDm
December 21: Break
December 22: Interview Calculator - https://lnkd.in/ezt8AhUJ
December 23: Project Ideas: https://lnkd.in/eHUqx_2F
December 24: Break
December 25: Break
December 26: Job Hunting - https://lnkd.in/ey4SJG9f
December 27: Data Analyst Checklist - https://lnkd.in/eUmKdQ6m
December 28: Break
December 29: Confidence - https://lnkd.in/eG_hDGdC
December 30: Data Habits - https://lnkd.in/e77VEK-A
December 31: Be proud of yourself 

Spend 20 min/day. You'll be AMAZED at how much you learn. 

Found this useful, please hit "reshare" so others can benefit as well. 

Enjoy!
Avery

Founder @ Data Analytics Accelerator (CYBER MONDAY SALE IS LIVE)

My honest thoughts on what data tools to use...

What Data Tools You Should Learn

Dear all, there's a lot of tools in the data world.

But you don't need to master them all. Here are the BEST data tools to start with:

1) Excel
Excel is still King in the data analytics world. Old? Yup. Boring? Maybe. But it's still VERY popular. It's worth learning Excel. It's required in 39% of data analyst job listings. It's also not that hard to learn. You can learn most of it in a week. Start with filtering, sorting, VLOOKUPS/XLOOKUPS, pivot tables, pivot charts, scatter plots, bar charts. That's a great start. 

2) SQL
SQL is the Queen in the data analytics world. And honestly probably the Emperor of the data universe. Learn it. You won't regret it. It's required in 31% of data jobs. It's a bit harder than Excel as it is a programming language, but it's not bad. Learn SELECT, FROM, WHERE, AND, IN, NOT, GROUP BY, AVG, MAX, SUM, HAVING and that's enough to build momentum. 

3) Tableau
Tableau is the Prince of data analytics and the most popular data viz tool. It's required in 21% of data analytics roles. Learn how to make charts & dashboards. I think bar charts, scatter plots, line charts, KPI's, and data visualization principles is enough. Power BI is it's twin. If you learn Tableau, you'll have no problem learning Power BI later.

4) Python
Python is the Wizard in the data kingdom. It's powerful, flexible, and can basically do anything: data cleaning, data modeling, data visualization. But it's hard to master - takes a long time - and is only required 14% of the time. Learn at your own risk. 

5) Power BI
Power BI is the Prince's little brother (also a prince, I guess). I personally think Power BI is easier to use than Tableau, but according to the data, it's only required in 13% of data jobs. 7% less than Tableau. And the fact that it's hard to install (especially on a Mac), lead me to recommend focusing on Tableau first. 

6) R
R is the Royal Scholar of the data kingdom. It's great at statistics and some other things, but not everything. It's not required that often - only 8%. And that 8% is probably government jobs and academia where it has a strong hold. Easier than Python, but less powerful. Personally: Python > R 

Hope this helps,

Avery

p.s. if you enjoyed this & want to learn all these skills from me by building real-world portfolio projects, check out The Accelerator: https://lnkd.in/eYZh7_-U (literally best time to join)

What data skills should you learn

It feels extremely overwhelming to see all the super-qualified people applying to an entry-level data analyst job. Especially when you're just getting started But here's a story that should give you hope 👇

I was talking to my data hiring manager friend who explained how he hired his last entry-level position. He didn't actually hire the person with the most data experience. He didn't hire the smartest candidate. Or who was best at SQL.

He hired the person with medium data skills, but a very strong domain background. 

He said, "I can teach them data stuff, but teaching them about the domain would take years"

👉 So apply to data jobs within your domain:

Teacher? Apply to education data jobs.
Accountant? Apply to financial data jobs.
Physical Therapist? Apply to health data jobs. 

I promise you've got this! Don't give up.

📈 I help people land their first data job (even with no experience) 📊 Join 10k+ other analysts & get my newsletter! 🎙️ Host of The Data Career Podcast

🎁 I'm giving away a FREE copy of 'storytelling with data' for Christmas!

I’m excited to announce my next giveaway. This month, it's a copy of 'storytelling with data' by my friend and data viz pro, Cole Nussbaumer Knaflic. This is the absolute best data book to start with in my opinion. It had a huge impact on my work while I was a data scientist at ExxonMobil. 

If you're unfamiliar, Cole is an ex-Googler and has actually taught these data principles to companies like Google, NASA, the IRS, Coca-Cola, and more. If you're just getting started with data, or want to take your skills to the next level, this book is a fantastic resource.

And it actually got published exactly 10 years ago! So to celebrate, Cole sent me a brand new copy to give away to one of my followers (thanks, Cole)!

🎟 How to Win
To be considered, make sure you're subscribed to my newsletter (click view my website at the top of this post). And comment "book" on this post. I'll choose one lucky winner randomly. 

🕒 Deadline
The giveaway runs until Monday, December 15th. Then the winner will be announced on my newsletter on Wednesday, December 17th - so make sure you open that one to find out if you won. 

🍀 Good luck & happy data storytelling!

SELECT turkey, mashed_potatoes, stuffing, pumpkin_pie
FROM thanksgiving_table
WHERE football_on = TRUE
AND blessed = TRUE;

Result: 1 happy family!!

Happy Thanksgiving from the Smiths! 🦃🍂🏈

datacareerjumpstart

snow-datascience

JSESSIONID

li_at

linkedin.com

Talks about #analytics, #datascience, #engineering, #dataanalytics, and #datavisualization

Landing a data job in 2026 will be hard.
Most people will unfortunately fail. 

Why? I think because it used to be easy. 
Just learn the skills and apply to 25 jobs and you're good.

That's not the case any more.
It's sadly much more involved now.

Still possible? Even with no technical background?
Yes. Here's what I would do if I was in your shoes:

Learn the skills. That's still very important. 
But it's not what lands you the job. It's what qualifies you for the job. 

Landing the job is much more about two forgotten concepts.
Networking & Portfolio Projects.

If you're ignoring these, you're likely to fail.
Luckily, it's not too late or difficult to start these.

Start an online portfolio. Even if it's ugly or empty.
Use LI, Carrd, GitHub - doesn't matter. 

Build at least one good project. Bonus points for more.
Grab a data set and answer: who, how much, when, where, etc.

Optimize your LinkedIn and resume. Spend hours.
These are the tools to actually get noticed.

But don't leave getting noticed to chance. Reach out.
Find recruiters and hiring managers and message them. 

And reach out to friends & family about data.
Just ask, "do you know any data analysts?" 

Weird? A little. Awkward? yes. 
Worth it? 100%

Want the exact step-by-step guide? https://lnkd.in/eYZh7_-U
Cyber Monday sale going on today.

Proud to announce my little data podcast is in the Top 1% of ALL podcasts!

What?!? That feels absolutely surreal. I am so grateful to the literal thousands of you listen to my annoying voice every single week when there is so many great podcasts out there. It truly means a lot that you listen. 

Here are some fun stats from this years' Spotify Wrapped. 
🥉 Top 10 podcast for 12,700 listeners
🥈 Top 5 podcast for 8,500 listeners 
🥇 Top 1 podcast for 2,200 listeners 
🎧 1.4 million minutes listened
🌎 130/193 countries reached
📤 Shared more than 99% of podcasts

Y'all are absolutely unreal.
From the bottom of my heart, thank you for listening.

Not stopping anytime soon.
See y'all in 2026!


p.s. if you've never listened, search "Data Career Podcast" and see what you're missing out on!

Spotify Wrapped: Data Career Podcast

Fresh data roles that are hiring right now!
(Apply before the roles close)

Lead Data Analyst (Vanguard)
Link: https://lnkd.in/eNarWSKx

Senior Technical Data Analyst - Operations E2E Data Intelligent Systems (NVIDIA)
Link: https://lnkd.in/e5YEMe96

Staff Business Analyst (PlayStation)
Link: https://lnkd.in/eajFadCt

Experienced Business Intelligence and Data Analyst (Virtual) (The Boeing Company)
Link: https://lnkd.in/eVCdhHyT

Performance Marketing Analyst - Mid Level (USAA)
Link: https://lnkd.in/e7VWVBXd

Clinical Research Data Specialist (University of Miami/UHealth)
Link: https://lnkd.in/eaZYdYj3

Financial Analyst I (Leader Bank)
Link: https://lnkd.in/edYEwS4d

Business Intelligence Engineer (Auto-Owners Insurance)
Link: https://lnkd.in/ez6uBSuk

Business Analyst Intern (8 - month) (Kenvue)
Link: https://lnkd.in/egVkNYYG

Data Analyst - BIHA (Vida)
Link: https://lnkd.in/e3quausc

Data Analyst (Wilen)
Link: https://lnkd.in/evp5jfQe

Financial Analyst (Premier Research Labs)
Link: https://lnkd.in/evhQPiZH

Entry level Data Analyst (ASTA Corporate Resource Solutions Inc)
Link: https://lnkd.in/e5NA6zN7

Entry Level Data Analyst
Link: https://lnkd.in/ec5hH8jS

Sales Data Analyst Intern (Fun and Moving)
Link: https://lnkd.in/eY8mTgDP

Senior IT Data Analyst (Emerald Resource Group)
Link: https://lnkd.in/edrefa8z

Happy applying and good luck!
Find more roles here: https://lnkd.in/e4HAmxxQ

Steal this 90-Day aspiring data analyst's plan: 

(bootcamp where I teach you all this: https://lnkd.in/eYZh7_-U)

4,593 people saved my post last - more than double who liked it. 

Out of curiosity, how many people do you think will go back and reference that saved post? My guess is close to none. 

Why? 99% of people on LinkedIn don't even know where their bookmarked posts even go, or how to get there). 

Let me fix that for you:
1) Go to your LinkedIn profile 
2) Click "Resources"
3) Select "Saved items" 

Or even easier, just bookmark this link: 
https://lnkd.in/eeUfmCpb

You're welcome. 


🔖 Save this post if you found it helpful (lol)

Most people searching for data jobs are playing a game they don't fully understand. They follow advice from people who have never hired an analyst. And then they feel confused when nothing works.

The truth is, there are myths that sound smart but do more harm than good. 

In this issue, I'll:
🎯 Share the biggest myths blocking your job search
💻 Show what truly matters when you're trying to break in
✅ Give you a simple game plan that works in today’s market

Read the full issue here. 👇

I see it every single day in my DMs. Smart people. Talented people. People who could crush it as analysts. But they're stuck because someone told them

7 Brutal Myths About Data That Are Keeping You Stuck

AI is SO GOOD at analyzing data that it do ANYTHING to make your analysis "good" - even make up data 🤡🙃🤦‍♂️

Here's how AI almost made me lie to the THOUSANDS of you who listen to my podcast ever week. 

For an upcoming episode, I'm doing some financial analysis to compare data roles in different industries. I wanted to show case a few different industries to prove a point. I thought I could show some historic stock trends with a line chart. Should be fairly simple, right?!? 

I was using Claude to make my charts. Everything was going well until I noticed this Meta stock decline looked way too linear. I thought, "Wow! I can't believe how linear the stock fell. Almost a perfect line." And then realized, nothing in life is EVER that linear. So I looked up the actual stock chart and sure enough, not this linear. 

Then I straight up asked Claude if it was making data up. Sure enough, it was. It was "too difficult" to get the right data - much easier to just make it up. UGH! 

This is a great reminder that AI is amazing. But it definitely isn't full-on REPLACING humans anytime soon for data analysis. Is it helpful? Yes. Does it speed up analysis? Yes. Do I use it? Yes. Should you use it? Yes. 

But left on it's own, it will "analyze" "data" so incorrectly it will make you lie to stakeholders, make incorrect decisions as a business, and make you look like a fool.

Double check AI's work - always. 




p.s. did you know I have a LinkedIn Learning course on data analysis using Claude? 🤣

My 5-year back story as a data analytics coach:

-In 2020, I started teaching people Python online during the pandemic. I taught the basics by building insanely fun projects: Mario Cart, Rock-Paper-Scissors, Snake, etc. And I freaking loved it. I loved teaching others data! I then released a free "Predict The Stock Market w/ Python" course.  

-In 2021, I was bored and undervalued at work so I quit my corporate full-time job and set out to design the program I wish I had when I was breaking into data science. I launch the Data Career Podcast and start The Accelerator - all centered around building personal portfolio projects. 

-In 2022, I re-built the program completely from scratch based on what was actually working. I created simpler, more industry-relevant projects. The original projects were super fun, but too complicated. Simple wins. Also, I stopped teaching data science and only data analytics. Data Analyst > Data Scientist when you're getting started. 

-In 2023, I continued posting daily on LinkedIn and cross the 100,000 follower mark. Our students land jobs at NASA, Wells Fargo, and Rivian. I focus mostly on the networking & job hunting portion of the program. We built a job app tracker, interview question database, & resume templates. I also become a dad.

-In 2024, our students continue to land awesome jobs at General Motors, Humana, and Amazon. We built a new community for our students with better forums, live events, leaderboard, and membership directory. I start taking YouTube seriously & eventually hit 50,000 subscribers. I have my second kid at the end of the year. 

-In 2025, we doubled the number of students landing jobs. I added cool resources to the program like: job boards, an AI companion bot, monthly networking events, and co-working hours. I brought on two new coaches to help support time decrease (even on the weekend). 

-In 2026, I plan on doing more of the exact same. Just more. And better.

Last Cohort of 2025 starts Monday.
You in? https://lnkd.in/eYZh7_-U

Here are the 7 coolest data jobs I saw open this week:

🧩 Data Analyst - Words with Friends
I used to be obsessed with this game. Analyze all my games.
https://lnkd.in/ev9ytgrT

🚚 Data Analyst - Hello Fresh
Food delivery = the future. I bet there's cool things to analyze here.
https://lnkd.in/ebZpvCsX

🌮 Data Analyst - Ole Mexican Foods
Who wouldn't want to analyze Mexican food all day?
https://lnkd.in/ea8jT_yR

🍔 Marketing Analyst - Red Robin
Been awhile since I've been to Red Robin - they could use some marketing help lol
https://lnkd.in/eiQvFbe6

🍕 Financial Analyst - Domino's Pizza
My guess is pizza sales continue to rise in 2026, but you let me know.
https://lnkd.in/e2Bbewx7

💸 Financial Analyst - Lottery Company
I've never done the lotto, but working for one sounds super interesting.
https://lnkd.in/eptnGM6h

🚀 Business Intelligence Engineer - Blue Origin (Jeff Bezos Space CompanY)
The JD didn't say a trip to the moon was included but seems rad.
https://lnkd.in/ejNXBmMf

Apply, apply, apply!
Share, share, share!
Follow, follow, follow! 

You've got this! 

Your data friend,

Avery

(99+) Feed | LinkedIn

Which ones of these 7 data career myths is keeping you stuck on your data journey?

7 false myths keeping you stuck in your data journey

Data interviews are super scary & hard, but luckily there's one simple thing you can do to make them suck less...

Practice!

When I finally landed my first data analyst interview, I can't tell you how nervous I was. It felt my whole career was depending on it! I was so anxious I had my wife conduct mock interviews with me. And it worked! I got the offer! I owe a lot of my career to that job and I owe that job to practicing my interview questions (shout out my wife!) 

But how do you practice interviews?

I made you a FREE practice mock interview with 3 commonly asked questions that you can practice TODAY! I ask you the question, you pause the interviews and answer, and then I show you a good and bad answer. It's judgement free practice. 

Interviews stop being scary when you've already done a rehearsal of what you're going to say. I promise the more you practice, the less nervous you'll get. The less nervous you get, the better you'll do. The better you perform, the more offers you'll get. The more offers you get, the more money you make. Practice = $$$. 

Ready to practice?!? 
Video version: https://lnkd.in/eREgAfbT
Audio version: https://lnkd.in/e6WzyPRh


My challenge to you is to do one of the following:
A) Try the practices right now 
B) Save this post to revisit later this week
C) Reshare this post so others can try it

You've got this!

AS

Hey. You're invited to the last kickoff call for The Data Analytics Accelerator tomorrow. Here are the details:

• What? The Accelerator Kickoff Call
• When? 7PM ET tomorrow 
• Where? Google Meet
• Who? Me + the data fam + you
• How? DAA + Q&A + networking 

If you've been curious about what I do or the program I run, this is your chance to come learn more. I promise I don't bite. I promise you are welcome. I promise you'll have fun.

This is the last cohort kickoff for 2025. 

Hope to see you there: 
https://lnkd.in/evNq-Mpi

Fresh data roles that are hiring right now!
(Apply before the roles close)

Business Intelligence Engineer (Amazon)
Link: https://lnkd.in/edrjHBdY

Marketing Analyst - North American Markets (Nasdaq)
Link: https://lnkd.in/eP29b7MA

Financial Analyst (Entry Level), Program Controls (Raytheon)
Link: https://lnkd.in/eGa4_Bnf

Senior Financial Analyst (University of Chicago)
Link: https://lnkd.in/eE_a6A5u

Senior Financial Analyst (ZEISS)
Link: https://lnkd.in/e7mPwCiD

Healthcare Analyst III - Trend Analytics (Medica)
Link: https://lnkd.in/e-67ekq6

Business Analyst (Corporate One Federal Credit Union)
Link: https://lnkd.in/eK4drvMK

Future Builders Recent College Graduate Program - Business Analyst (Lennar)
Link: https://lnkd.in/eHtPRxVC

Field Data Analyst (SCS Field Services)
Link: https://lnkd.in/egQPW8EN

Stop Loss Data Specialist (Allied Benefit Systems)
Link: https://lnkd.in/eK9yiYjh

Financial Aid Operations and Data Specialist (Hamilton College)
Link: https://lnkd.in/ej4sai42

Senior Financial Analyst (TextNow)
Link: https://lnkd.in/ePWnam88

Lead Data Analyst (Parachute Health)
Link: https://lnkd.in/ews2J-z5

Business Analyst II (Pentair)
Link: https://lnkd.in/eY9B52JR

Financial Analyst (Oregon Department of Transportation)
Link: https://lnkd.in/e55pTmpM

Senior Business Analyst, Data Intelligence (FFF Enterprises)
Link: https://lnkd.in/ekuwpAXr

Happy applying and good luck!
Find more roles here: https://lnkd.in/esk-XHmB

The University of Georgia

As a Graduate Research Assistant at the University of Georgia, I embarked on an academic journey that not only enriched my knowledge but also allowed me to make a meaningful impact. The opportunity came as an award, a Graduate Research Assistantship worth $25,000 annually, and it opened the door to a world of data analysis and discovery.

One of the most fulfilling part of this role was coaching and mentoring 20 undergraduate students, imparting essential skills for laboratory analysis, particularly the effective use of a spectrophotometer. This experience was not only about knowledge transfer but also nurturing the next generation of data enthusiasts.

In my time in the laboratory, I’ve been part of a dedicated team that achieved a significant milestone. We increased our laboratory's result output by an impressive 20% in just one year. This accomplishment was a testament to our collective commitment and the realization that data tells a story waiting to be discovered.

My experience as a Graduate Research Assistant reinforces my belief that data analysis is not just about numbers; it's about uncovering the narratives hidden within the data. Now, as a Data Analyst, I carry this ethos with me as I continue to turn raw data into valuable insights.

Graduate Research Assistant

Edusimp Scholars

At Edusimp Scholars, my journey as a Founder is deeply intertwined with my passion for transforming lives through education. I've had the privilege of working with more than 100 graduate students hailing from Africa, majorly Nigerians,all of whom are now pursuing their dreams as F1 students in the United States.

My role goes beyond numbers; it's about enabling these students to access the opportunities they deserve. I take immense pride in securing and facilitating over $600,000 in scholarships, research assistantships, teaching assistantships, and loans for these aspiring scholars. Through data-driven insights and analysis, I've empowered our students to reach their academic and career goals.

Every new day comes with a story waiting to be told, and I'm here to ensure that each story contributes to a brighter future.

Founder

Hi! I am Kehinde Omisakin, a dynamic Data Analyst and Project Scheduler with a relentless passion for leveraging data and meticulous scheduling to drive strategic decision-making and ensure project excellence.

As a Graduate Research Assistant, I consistently delivered impactful results and secured a prestigious Graduate Research Assistantship, underscoring my capabilities. I mentored 20 undergrad students in lab analysis, achieving a remarkable 20% increase in laboratory output within a year through precise scheduling and coordination.

Founding Edusimp Scholars has been a transformative journey. I’ve contributed significantly to the academic success of over 100 African graduate students in the United States, securing over $600,000 in scholarships, research assistantships, and teaching assistantships. My ability to manage and schedule multiple projects simultaneously has been crucial to these achievements, showcasing my commitment to student success.

Certified in Business Analytics and Data Science, I excel in applying data analysis to real-world scenarios. My data visualization work on datasets from Foodhub and Enews demonstrates my analytical prowess, while my project management skills ensure timely delivery of actionable insights.

Understanding the pivotal role of effective project scheduling in successful project execution, I’ve integrated advanced scheduling into my skill set. My analytical background empowers me to create detailed project schedules, optimize timelines, and ensure projects are completed on time and within budget, providing comprehensive solutions that drive success.

Beyond my professional pursuits, I am an avid traveler, having explored over 30 states in the US by car. This passion reflects my curiosity and adaptability—traits I bring to both my analytical and scheduling work.

I am dedicated to applying data analytics and project scheduling to make a significant impact in Environmental Health, Science, Business, and Technology. My extensive skills and proven track record position me as an ideal candidate for data analyst and project scheduling roles. To work with me, please reach out to me at Kehindeomisakin360@gmail.com.

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Kehinde Omisakin

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The Battle

Avery Smith

Kehinde Omisakin

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Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Avery Smith's LinkedIn Performance

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