Built by practitioners, for practitioners

Three data science leaders who believe the future belongs to full-stack builders — people who can ask the right questions, validate the answers, and ship decisions.

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"AI can conduct the analysis, but it can't tell you what question to ask or whether the answer makes sense."

We met building data teams at Nextdoor, where we saw the same pattern play out over and over: brilliant product managers, engineers, and designers waiting days or weeks for data teams to answer questions they could have answered themselves — if someone had taught them how to think analytically.

So we started the Data Neighbor Podcast to share what we'd learned across Stripe, Meta, LinkedIn, Microsoft, and beyond. The conversations we had with listeners and guests made one thing clear: the demand for practical analytical training was far bigger than a podcast could serve.

AI Analyst Lab is our answer. We build courses and workshops that teach product teams to think like product data scientists — with AI as an accelerator, not a replacement for judgment.

This is NOT

A SQL/Python course. Pure AI prompt engineering. A passive learning experience.

This IS

Product data science thinking. Decision-making and influence training. Hands-on with real scenarios. Skill first, then AI, then execution.

The Team

From Stripe to Meta to Microsoft

We've built and led data teams at companies you know.

Shane Butler

Principal Data Scientist, AI Evaluations, Ontra

Principal DS at Ontra

Previously at

Stripe · Nextdoor · AppFolio · PwC

Shane has spent over a decade in product data science at Stripe, Nextdoor, AppFolio, and PwC. He currently leads AI evaluations at Ontra. He holds an MS with Highest Distinction from Carnegie Mellon and co-hosts the Data Neighbor Podcast. He teaches because smart builders shouldn't have to wait in a data queue.

Sravya Madipalli

Senior Manager, Data Science, Superhuman

Sr Manager DS at Superhuman

Previously at

Microsoft · eBay · Nextdoor · Grammarly

Sravya has led data science teams at Microsoft (Xbox), eBay, Nextdoor, and now Superhuman. She's an active speaker at conferences including Women in Tech Global and Women in Data Science at IBM. She co-hosts the Data Neighbor Podcast and focuses on making data careers more accessible and navigable.

Hai Guan

Senior Director / Head of Data, Ontra

Head of Data at Ontra

Previously at

LinkedIn · Nextdoor · Pinterest · Meta

Hai has spent 16+ years leading data teams at LinkedIn, Pinterest, Meta, and Nextdoor. He currently serves as Head of Data at Ontra, building the data organization from scratch. He co-hosts the Data Neighbor Podcast and brings a data leader's perspective on working with the people and systems behind decisions.

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