Varshant Dhar

Varshant Dhar is an experienced applied scientist currently working at Ripple since June 2022. Prior to this role, Varshant served as a data scientist at Klarna, focusing on fraud strategy in the US and Canada from September 2021 to June 2022, and at Chegg Inc. in June 2021, where responsibilities included feature selection and visualization of pre-enrollment trends for the marketing team. Varshant's background includes research as a graduate student researcher at the University of Michigan, specializing in non-parametric Bayesian statistics and deep reinforcement learning, and as a data scientist at Moat, where projects involved anomaly detection in ad traffic and clustering app reviews. Earlier experience includes research assistant positions at the University of Chicago in various domains. Varshant holds a Bachelor's degree in Statistics and Computer Science from the University of Chicago and a Master's in Statistics from the University of Michigan.