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All Things Product Data Science

Banani Mohapatra, Bhavnish Walia

All Things Product Data Science is your go-to newsletter for practical insights, experimentation techniques, and real-world lessons from 100+ experiments—covering everything from A/B testing to causal inference.

Platform
Substack
PricingOnly free issuesPublishesWeekly
Issues12SubscribersRead bananimohapatra.substack.com

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Latest Issues

Recent posts by this newsletter. Browse the email archive.

The Evaluation Edge: Why Experimentation is the True Test of Data Science, ML & AI Models

> A model is only as good as your ability to measure it. This edition dives deep into the high-stakes world of online vs. offline calibration, the architecture of model-based A/B testing, and the "Million-Dollar Question": when should you t...

5 days ago
0
0

Experimentation in Fraud, Risk, and Payments Systems

In product development, A/B testing is often the go-to standard. But if we work in Payments, Fraud, or Trust & Safety (T&S), we quickly realize that the familiar rules of experimentation, randomly splitting users to test UI changes fall sho...

12 days ago
4
0

When Experiment Wins Don’t Survive Production

Most experiments are time-bound. You define a test window, run it for a few days or weeks, review the results, and make a call.

2 months ago
4
0

Designing Experiments With Decision Layers in Mind

In data-driven organizations, experimentation has become the default mechanism for informed decision-making. A/B tests, pilots, and controlled rollouts are designed to introduce rigor and objectivity into how teams decide what to build and ...

2 months ago
6
0

Authors

The writers behind this newsletter.

  • Banani Mohapatra

    Data science leader at Walmart with 13+ years of industry experience and 500+ experiments powering growth, funnels, and pricing decisions.

  • Bhavnish Walia

    With 12+ years of experience in finance and e-commerce, I lead AI Risk Management at Amazon, where I build LLM frameworks for Anti-Money Laundering to enable safe.

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