At Bajaj Finserv, I translated AI/ML capabilities such as facial recognition and image reading into screen-level business requirements for the Pennant lending platform. This work cut case turnaround time by 15 seconds and enabled about five additional cases per branch per day.
I mapped NTB and ETB customer journeys, API integration logic, and audit-trail controls to shape operating-model recommendations. I also partnered with cross-functional teams to identify process inefficiencies and deliver data-backed recommendations.
In my finance projects, I built a valuation workbook for Hindustan Unilever using DCF, DDM, H-Model, and relative valuation. I also modeled Dabur India equity return volatility using GARCH, ARIMA, and ADF testing in SAS Studio.
