Aarav Jamdar

Hi, I'm an incoming student at UC Berkeley's College of Computing, Data Science, and Society studying Applied Mathematics & Data Science. I'm interested in quantitative finance, machine learning, and systems for making decisions under uncertainty.

I've built an RL trading agent from scratch with my own DQN, a facial recognition bias audit, and a statistical arbitrage backtester. Before that, I worked on computational fluid dynamics research at the University of Santa Barbara, and sustainable transportation research with the University of Cambridge.

I also spent four years competing in Public Forum debate, finishing ranked 4th nationally out of 18,000 competitors.

Feel free to check out my portfolio and reach out!