At RevFin, I analyzed risk across 60,345 EV loans and 46.3 million rows of IoT and telematics data. My findings on write-offs, credit invisibility, pricing, and collections informed underwriting and pricing reviews, while my dashboards and expansion roadmap supported business planning.
At Junomoneta Finsol Pvt. Ltd., I built the data science function and trading infrastructure from zero. I deployed 15+ production models for NIFTY 50 and Bank Nifty, achieving 75%+ accuracy in index direction and volatility forecasting, and developed real-time trading systems that improved risk-adjusted returns by 30%.
At Dhirubhai Ambani Institute of ICT, I developed the Dominant Axis method for IoT activity recognition, published in IEEE Sensors Letters, and worked on an industrial AI project for Reliance Industries. That project used real-time grid-frequency forecasting to cut energy wastage by 30% and improve grid stability by 20% at 95%+ uptime.
