Hi, I'm Pranjal

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 (Amex, RecSys).  

My research interests lie in ML-powered scalable methodologies for causal inference & experimentation, choice & preference modelling, reinforcement learning & dynamic programming, and optimization problems. 

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.