I'm an incoming Applied Scientist at Uber working on algorithmic pricing in the Delivery Marketplace. I have a PhD in Econometrics and Quantitative Economics from Georgetown University and three years of full-time work experience in applied and data science.
My research interests lie in the use of economics to improve AI/ML systems as well as using AI/ML techniques to improve economic modelling and measurement.
I have research and work experience in causal inference & experimentation, classic machine learning, algorithmic pricing and bidding, optimization and reinforcement learning.
During my PhD, my advisors were John Rust and Nathan Miller and I also interned/worked with the following tech firms: Roblox, Uber and Topsort. Before my PhD, I worked at a Assistant Manager (Data Science) at American Express for 3 years on productionalizing marketing rec-sys and graph embedding systems. Before that, I worked on time series econometrics during my first Masters and at the Reserve Bank of India.