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.
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.
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.
Henry J. Gailliot Presidential Fellowship, CMU 2019-20.
Ripple Foundation Fellow, 2019-20.
ISMS Doctoral Consortium Fellow, 2019.
Litzenberger Family Fund Award, CMU, 2018-19.
Best Conference Paper nomination, CIST INFORMS 2018.
Best Student Paper, CIST INFORMS 2017.
William Larimer Mellon Fellowship, CMU 2016.
Best Electrical Engineering Undergraduate Thesis, IIT Delhi 2011.