Nihal Mehta is an economist currently working at Keystone AI since July 2025. Prior to this role, Nihal served as a Graduate Research and Teaching Assistant at Penn State University from August 2019 to June 2025, assisting Professor Kei Hirano with research on external validity in experimental site selection. Earlier experience includes positions as an Experienced Associate at PwC from July 2017 to June 2019, where Nihal worked on various projects involving climate risk simulation, portfolio optimization, and customer analytics, and as an Analytics Intern at Standard Chartered during May to July 2016, developing a credit card default prediction model. Nihal holds a PhD in Econometrics and Quantitative Economics from Penn State University, a Master's degree in Economics from the Delhi School of Economics, and a Bachelor's degree in Economics (Honors) from the University of Delhi.
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