Growth at Flipkart, data platforms at Meesho, and two products I started myself. I've owned roadmaps and the instrumentation under them — and called time on two builds that weren't going to scale.
I'd rather ship the smaller thing this month and know whether it worked than ship the bigger one next quarter and guess.
I studied Metallurgical & Materials Engineering at IIT Roorkee and went straight into analytics at Flipkart, where the interesting part was never the dashboard — it was the argument the dashboard settled.
That pulled me into product. Two years at Flipkart, then Data Platforms at Meesho, then nine months building two products of my own to find out what I'd do without a company around me.
See what I've worked on →Marketplace growth, internal data platforms, and two products taken from an empty repo to launched.
Cut detection of a broken core table from two days to same day. Built the function from scratch, 5 tables to 16.
Took exchange adoption from ~12% to ~15%, after thirteen months getting a platform team that didn't report to me to instrument the funnel that showed why.
Shipped a fund product to 30 users — six strategies, four of them profitable. The product worked; the market didn't.
Turned twenty leads into five pilots, and found buyers wanted the technical checks, not the dashboards we pitched. Called it when it wasn't going to venture scale.
Both my internships — Accenture Strategy and EY — came out of winning their case competitions rather than a CV screen.
Consumer, market and experts — all three, before anything gets built.
The scope that proves the bet fastest, not the scope that covers everything.
Execution is quick when the arguments happened up front instead of mid‑build.
The number either moved or it didn't, and I would rather say which.