I turn messy operations into things that ship.

I started out in electronics engineering at Mumbai University and found, somewhere between embedded systems, instrumentation and electrical machinery, the part I actually cared about wasn't the hardware — it was the question of how to best utilize data to fill gaps between requirements and end-result.

That took me to HDFC Bank, where I spent two years as a business analyst translating between operations teams who knew the problem and the IT team who could enable it. I authored requirements, led the migration of 11 legacy .NET apps to Microsoft PowerApps, and built Power BI dashboards that replaced the static reports nobody read. The work I'm proudest of is an internal AI chatbot: I identified the need, scoped and developed it, and the result reduced routine support queries by 40%.

I recently consulted for Catholic Charities of Denver, evaluating over 15 real estate AI platforms and prototyping Tableau dashboards for 31 housing properties. This reduced their manual monthly data-consolidation process, which took 3 to 5 days of work every month.

I also spent my final year teaching at NYU Stern School of Business — first as a TA for Research for Consumer Insights (Marketing), then leading problem-solving sessions for Microeconomics as an Adjunct Instructor. Standing in front of a room and making a complex concept understandable is the same skill as getting a stakeholder to sign off on a requirement: you have to actually understand it, break it down into simpler terms, and know what your audience already believes.

I'm looking for product management, consulting, business and data analytics roles where the job values my people skills alongside my technical aptitude. Outside work I love exploring NYC, and I've picked up a new hobby of vibe-coding new projects.