About Me

I am a student of Technology, AI and Economics at Carnegie Mellon University. Prior to joining CMU, I spent five years as a quantitative data strategist for Goldman Sachs. I completed my undergraduate in Electrical Engineering from IIT Delhi in 2011.

My research focuses on technological disruptions in financial markets including Machine Learning Algorithms, Blockchains and Coin Offerings. I strives to uncover risks, biases and economic implications of technology disruptions as well as technology refinements to achieve more efficient outcomes. I also teach an undergraduate business administration course on FinTech.

Please reach out over email for quantitative analytics projects, consulting and research opportunities in industry. I will be happy to share my previous exploratory industry collaborations in FinTech and Big-Data analytics.

Publication

Deep Learning in Computer Vision: Methods, Interpretation, Causation and Fairness with Singh, P. V.

Working Papers

A dynamic analysis of beauty premium with Singh, P. V. , Srinivasan K. and Lee D.

Why Bitcoin will Fail to Scale? with Aseri M., Singh, P. V. , Srinivasan K.

Technology disruption in Global Payments - Winners and Losers with Aseri M., Singh, P. V.

Work In-Progress

Can banks survive the next financial crisis? An adversarial deep learning model for bank stress testing with Khan U., Singh, P. V.

"Role of naive consumers in ICO crowdsale" with Singh, P. V. , Mehta, N., Srinivasan K.

"Predictive algorithms driven Price bubbles in markets with price uncertainty" with Singh, P. V. , Mehta, N., Srinivasan K.

Awards and Fellowships

PNC Presidential Fellowship, 2019-20.