Nov 2021 – Nov 2022 · 1 yr

• Managed a portfolio of 6 client relationships across a 20+ member team in Financial Services, Insurance, and eCommerce verticals to drive value for clients using Data Science & Analytics.
• Have developed several risk / response / fraud models, marketing strategies, underwriting strategies, LTV prediction models, unsupervised & supervised customer segments, A/B testing frameworks, and managed the entire analytics function for a vast portfolio of businesses in the US; Used basic analytics & visualization tools (Excel, Tableau, Domo) as well as advanced statistical techniques (machine learning algorithms like XGBoost & Light GBM, K-means clustering, Logistic regression, etc.) across different projects.
• List of clients includes US-based sub-prime credit card issuer, equipment financier for small businesses in the US, LA-based online wine subscription firm, Insuretech firm providing online term life insurance in NYC, one of the big four banks in Australia, one of the largest credit unions in Philadelphia, etc.

Nov 2020 – Oct 2021 · 11 mos

Mar 2020 – Nov 2020 · 8 mos

• 1st employee of the firm's US office; responsible for setting up and growing the US team.

Dec 2018 – Mar 2020 · 1 yr 3 mos

Jan 2018 – Dec 2018 · 11 mos

Mar 2016 – Jan 2018 · 1 yr 10 mos

Jun 2015 – Mar 2016 · 9 mos

May 2014 – Jul 2014 · 2 mos · Bangalore

• 1. Work involved an intensive study of flange leakage in an aircraft engine, identifying possible causes and suggesting methods to reduce the same thereby facilitating financial savings for the company
• 2. By correlating conclusions of various research papers, developed a regression-based model which could predict the flange leakage under various operating conditions.