Ship a deployed ML system. Then I get you hired.
8 weeks of work, then a job. You design experiments, ship a deployed ML model, and build a working RAG app on a messy business dataset - the rung above analyst. The deal: you ship the work, I rewrite your resume and run the job-hunt with you using my handbook - until you land a data-scientist role.
A real reply from Anuj on WhatsApp - no sales team, no spam. Not sure it's for you? Ask first.
Pradeep — non-tech, 4-yr gap — is now a Data Analyst. Akshobya took his pick of 3 offers. Our first two finishers. See their stories →
- 1A resume recruiters actually open. I rewrite it with you, line by line, using your background + the 5 artifacts you ship.
- 2A job - a data-scientist role specifically. I work the post-program hunt with you using my full handbook, until you land.
Effort on your side is the only non-negotiable.
- 8-week mentor-led deployed-ML capstone₹28,000
- Weekly 1:1 review calls with Anuj (8 × 30 min)₹14,000
- Personal resume rewrite (by a hiring-panel member)₹7,000
- Job-hunting handbook + coaching until you land₹9,000
- 24h feedback on every submission + private Discord₹5,000
- Certificate + lifetime accessIncluded
- Analysts (or DA Advanced grads) ready to cross into data science
- People comfortable with SQL + Python who want to ship deployed ML, not just notebooks
- Learners who can commit 1-2 hrs/day for the full 8 weeks
- Complete beginners - this assumes solid SQL + Python + analytics already
- People looking for a passive video course with no hands-on building
- Anyone who can’t commit weekly time
Rusty on stats or Python? Tell me before you enroll and I'll point you at a short prep plan so you start ready, not behind.
I've sat on hiring panels at five product companies and reviewed hundreds of data resumes. I know what separates a candidate who gets a DS offer from one who stalls at 'strong analyst' - and we build exactly that here.
I review every submission personally through our Discord pipeline - you'll get feedback on your work, not a rubber-stamp.
Where the first students landed.
The first students through the program. Real names, real outcomes, shown with their permission.
Non-tech background, BA in 2022, then a four-year gap. Learnt data from scratch in the program and landed a full-time role.
Had multiple offers on the table and chose the internship — the path he actually wanted.
This isn't self-paced. You have a manager.
After enrolling, you join a private Discord for daily stand-ups, get a 30-minute 1:1 call with Anuj every week, and every submission you ship gets a real written review within 24 hours. Miss a deadline? You'll hear about it. Ghost for 5+ days? We loop in the accountability person you named at enrollment.
You'll finish what you started. Or someone you trust will know.
The biggest reason students drop a bootcamp isn't that the material's hard - it's that no one notices when they stop. We fixed that. At enrollment, you name one person you trust. They never hear from us - unless you go silent.
You nominate one person
Parent, sibling, manager, mentor, friend - your call. We collect their phone, name, and how they know you. One person, one time, at enrollment.
They never hear from us
Default state: silent. We don't ping them weekly, send them updates, or share your scores. Their existence in your enrollment is the deterrent - using it is the last resort.
If you ghost 5+ days, we reach out
No daily-stand-up, no submission, no Discord ping, no reply to ours - for five full days. Then we send them a short, respectful WhatsApp: 'Hey, checking in. Anuj hasn't been around. Everything okay?' That's it.
Most never need step 3
Knowing the call could happen is enough. Students who'd otherwise quietly drift away stay engaged. The point isn't to embarrass you - it's to make sure you have skin in the game.
A peek at the work.
A messy business dataset - broken joins, missing values, ambiguous definitions - plus a small document corpus for the RAG project. You'll model against tables like these, then ship the model live.
Direct, specific, actionable.
Every submission gets a written review like this within 24 hours. No rubrics, no rubber-stamps - just what to fix and why.
Weeks 1-2 sharpen the experimentation and statistics most analysts are weakest on. The real jump is Weeks 5-7 - taking a model from notebook to a live /predict endpoint and shipping an evaluated RAG app. That deployed artifact is what moves you from 'analyst' to 'data scientist' on a resume.
What you'll ship, week by week.
- ▸Distributions, sampling & uncertainty
- ▸Hypothesis testing done right
- ▸Confidence intervals you can defend
- ▸Where analysts' stats intuition breaks
Do the work. I'll get you hired.
Two non-negotiables. You ship the daily work over 4-8 weeks. I rewrite your resume with you and work the job-hunt with you using my handbook - until you land a data-scientist role.
Follow the plan seriously - daily applications, resume rewrite, mock interviews when you ask - and you'll get there. The playbook is proven, not theory.
Product-company data science - the rung above analyst:
Entry-level data-scientist pay in India now starts around ₹6-9 LPA (≈ ₹50,000-75,000/month). The day you get hired, this program costs about 14% of your first month's pay.
You earn ₹6,999 back in your first 4.2 days on the job.
Tools
- • Python (scikit-learn, pandas)
- • SQL
- • MLflow
- • FastAPI + Docker
- • A vector store (pgvector)
- • Docs (write-ups)
Deliverables
- • A/B test analysis: power + sample size, frequentist + Bayesian, exec summary + appendix
- • Churn/LTV model on messy data: imbalance handled, AUC/PR, threshold tied to business ROI
- • End-to-end ML pipeline deployed live: MLflow → FastAPI /predict → Docker → demo
- • An evaluated retrieval (RAG) app with citations + a basic hallucination check
- • A polished GitHub portfolio with a methodology write-up per project
Completion criteria
- • All core tasks marked complete
- • All required submissions uploaded/linked (incl. a live, reachable deployment)
- • Any required revision tasks completed
Before you enroll.
8 weeks from now, you could be interviewing.
Start the day you enroll - no waitlist. One payment, full access until you finish. Do the work and I run the hunt with you until you land. Not sure yet? Drop your details and ask me first.