At Uber, I led category-level take-rate and spend-efficiency analytics that unlocked $700K+ in monthly savings by optimizing auto net take rate by 1pp without compromising market share. I also owned revenue planning for India and South Asia across five-plus categories.
I built a GenAI-assisted revenue forecasting model that improved accuracy from 5–6% deviation to 2–3% deviation. I also developed a five-year, three-scenario P&L model to size a US$1Bn investment need and revamped leadership dashboards, reducing reporting turnaround time by two days.
Before Uber, I worked in consulting at PRAXIS GLOBAL ALLIANCE and Strategy& MIDDLE EAST on growth strategy, market research, due diligence, and digital transformation. My work included digitizing a loan operating system to cut sanction turnaround from three days to four hours and designing APIs that supported tie-ups with four vehicle aggregators.
