I build forecasting and causal inference models that turn noisy market and economic data into decisions. On Western Digital’s AI/ML team, I extract signals from semiconductor-industry and macro-finance data to produce long-horizon forecasts that inform executive decisions on strategy, pricing, and demand.
My research develops new econometric and machine learning methods, and my forecasting work won an award at the 2025 World Congress of the Econometric Society. I also teach causal inference and financial economics at UC Berkeley.
I hold a PhD in Econometrics from UC Riverside, an MS with academic distinction from the Indian Statistical Institute, and a B.Tech in Electrical Engineering from IIT Roorkee.
Areas of Expertise: Causal inference, high-dimensional econometrics, forecasting, nonparametrics, statistics.
News
PositionSep 2026
Invited back to UC Berkeley to teach Financial Economics (Econ 136).
TalkJun 2026
Paper accepted for oral presentation at the 2026 North American Summer Meeting (NASM) of the Econometric Society, Atlanta, GA, USA.
PositionJun 2026
Will be teaching in the Dept. of Economics at UC Berkeley.
Awarded Earle C. Anthony Graduate Student Travel Award (USD 1,950) in Fall 2024 for traveling to international conferences, by the University of California, Riverside.