Ship a deployed ML system. Then I help you get hired - till you land a job.
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 LinkedIn, then run the job-hunt with you using my handbook - aimed at 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 + LinkedIn recruiters open. I rewrite both with you, line by line, using your background + the 5 artifacts you ship - and we polish your project READMEs to match.
- 2The job hunt - run together until you land a data-scientist role. I work the post-program hunt with you using my full handbook.
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
- Resume + LinkedIn profile 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.
Everything you'll learn, build, and use.
- Solid SQL + Python and basic analytics comfort - this is not a beginner program (that's Data Analyst - Advanced)
- 1-2 hrs/day for the full 8 weeks
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.
Finished the program with three offers on the table, compared them, and went with the one that fit him best.
The three questions everyone asks first.
It's not a course - it's manager-led work. I personally review every submission within 24 hours and run a 30-minute 1:1 with you every week. I cap how many students I take so I can actually do that, and the people on the Results page are real, named finishers - not stock photos.
No one can legally guarantee a job, and I won't pretend otherwise. What I commit to: I've already helped students land data-scientist roles with this exact handbook, and I work the hunt with you - applications, resume, LinkedIn, mock interviews - until you land. Do your part and the system does the rest.
Pause anytime - message me in Discord and we pick up where you left off. Access is yours until you finish; no clock runs out on you. The only thing that breaks it is going silent for days without a word - that's what the accountability person is for.
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. There are no group classes to attend — for each skill a task needs you get a curated video course, you work with AI like you would at a real job, and the hours are yours. 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. Because someone's got your back.
The biggest reason students drop a bootcamp isn't that the material's hard - it's that no one notices when they stop. So at enrollment, you name one person you trust, and we almost never have to involve them - they stay silent by default. Just knowing someone's in your corner is usually enough to keep going.
You nominate one person
Parent, sibling, manager, mentor, friend - your call. We keep their contact on file, privately, in case we ever need it. 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 - [your name] hasn't been around the program for a few days. 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.
Everything you'll learn, build, and use.
- Solid SQL + Python and basic analytics comfort - this is not a beginner program (that's Data Analyst - Advanced)
- 1-2 hrs/day for the full 8 weeks
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 run your job hunt with you.
Two non-negotiables. You ship the daily work over 8 weeks. I rewrite your resume and LinkedIn 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.
What protects your ₹6,999.
Life happens. Message me in Discord, take a week or two, and we pick up exactly where you left off. The only thing that breaks the deal is going silent without a word.
One payment, access for life. No subscription, no expiry - the program is yours until you finish it, however long that takes.
When the weeks end, the hunt begins - and I work it with you. Applications, resume, LinkedIn, mock interviews, until you land a data-scientist role.
The one thing I don't offer is a refund. What you're paying for is my time and review from day one - so it's a one-time, non-refundable payment. That's exactly why I'd rather you ask me anything on WhatsApp before you commit..
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.