For data scientists, analysts, and career changers ready to level up

Companies won't hire you without experience.

No developer left behind.

You can't get experience without a job. That's the catch. This is not a bootcamp. This is where you actually do the work. Whether you just graduated, switching careers, or have a gap on your resume, this is how you fill it with something real.

Count me in Free webinar · Spots are limited
$21,000+
spent on bootcamps
0
interviews it got me

So I built my own way in, and it worked.

Tiffany Teasley - Data Sistah

Tiffany Teasley

Data Sistah

Current Data Scientist · Former Math Teacher · LinkedIn Top Voice 2024 & 2025

I was a high school math teacher for 20 years. When I decided to become a data scientist, nobody took me seriously.

I spent over $21,000 on bootcamps. Didn't get a single interview. Hiring managers saw a teacher, not a data scientist.

Then I failed an interview because my bootcamp never taught me what I needed to know. Instead of walking away, I went and learned it myself. I built real projects to prove I could do the work. I came back to that same manager, and got the job.

Most people don't get a second chance. That's exactly why I built this. Real experience is what gets you hired. Not another certificate. Not another course. Actual work.

That's what the Experience Gap gives you.

What you'll actually do

Think of it like an apprenticeship. You don't learn about sprints. You're in them. You don't study AI projects. You build them.

Work inside a real sprint

Real company. Real problem. Real tickets and deadlines. Standups, sprint planning, retros. The way actual AI teams work.

Do real work

You work on solving a real business problem. You write documentation and contribute to a shared repo. No hand holding.

Build your own AI project

You pick the industry. During our one on one, I make sure it solves a real business problem, not a generic one. Then you build it and have the opportunity to present it.

Walk away with proof

A real apprenticeship on your resume. Shipped work. Sprints you were part of. Recommendations from teammates you actually worked with.

By the end you don't have one project. You have two.

One built inside a real company sprint. One built for the industry you actually want to work in. That's a portfolio.

Why this actually works

I work full time as a data scientist right now. I was a high school math teacher for 20 years before that. I know what it feels like when nobody takes your career change seriously. And I know what it takes to break through.

I've mentored hundreds of people making this same move. LinkedIn Top Voice 2024 and 2025. LinkedIn Learning instructor. Featured by Udemy. I still work in this field every day. The Experience Gap exists so you don't have to figure this out alone the way I did.

Want in?

Drop your email and I'll let you know when the next webinar is. You'll be first to hear the date, first to hear the company partner, and first to get a spot.

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