Advanced AB Testing for Data Scientists - Scholarship Winners! 🎉
Announcing our Advanced AB Testing for Data Scientists scholarship winners!!
✨ 201 Workshop Scholarship Results Are In! ✨
👋 Hey! This is Manisha Arora from PrepVector. Welcome to the Tech Growth Series, a newsletter that aims to bridge the gap between academic knowledge and practical aspects of data science. My goal is to simplify complicated data concepts, share my perspectives on the latest trends, and share my learnings from building and leading data teams.
After carefully reviewing 100+ applications for the 201 Workshop, we’re excited to announce the scholarship recipients.
🎓 Parul Khattar
🎓 Rohit Tiwari
🎓 Tamojit Maiti
🎓 Ish Pandey
Huge congratulations to all the winners! 🥳
We’ve emailed each of you with the next steps—please check your inbox.
To everyone who applied
Thank you for taking the time and effort to apply. We truly appreciate the interest and the thoughtful applications we received.
To make sure more of you can still join us, we’re extending a $250 discount on the Advanced A/B Testing for Data Scientists until Feb 6, 11:59 PM PST
👉 Use code AB201 to avail the discount.
Here is a quick overview of what we’ll cover in this workshop
This advanced workshop is a continuation of the AB Testing Workshop for Data Scientists and Product Managers. The advanced workshop is designed for data scientists who want to level up their experimentation skills:
Variance reduction & experiment efficiency
Heterogeneous treatment effects
Interpreting results beyond statistical significance
Real-world learnings from practitioners running experiments at scale
Learn from industry experts
Manisha Arora — Data Science Lead, Google | Founder, PrepVector
Manisha leads data science for Google Ads, partnering with large advertisers to drive direct revenue impact. With 12+ years of experience and 350+ professionals taught across Maven and PrepVector, she brings rigorous experimentation thinking grounded in real business outcomes.
Banani Mohapatra — Senior Manager, AI/ML & Data Science, Walmart
Banani is a data science product leader with 13+ years of experience across e-commerce, payments, and real estate. At Walmart+, she applies A/B testing and causal inference daily to drive meaningful decisions at scale.
[Guest Speaker] Arslan Aziz — Staff Data Scientist, DoorDash
Arslan leads inventory optimization across grocery, convenience, and retail at DoorDash. Previously at Meta, he built causal inference models for ads ranking. He holds a PhD in Economics of Information Systems from Carnegie Mellon and brings rare depth across academia and industry.
📅 Schedule
Dates: Feb 07–08, 2026
Time: 11:00 AM EST / 8:00 AM PST / 9:30 PM IST
Let’s take experimentation to the next level 🚀
Team PrepVector