Jun 2023 – Nov 2023 · 5 mos

• Transaction fraud risk strategy - MBNA credit cards

Nov 2022 – Jun 2023 · 7 mos

Oct 2019 – Oct 2022 · 3 yrs

• Consumer Fraud Risk Strategy - Google Pay US, new geographies

Jul 2019 – Oct 2019 · 3 mos

• Developed and maintained dashboards to monitor KPIs for PayPal Consumer Credit portfolio
• Designed an Identification and Queuing system to flag abusive customers availing PayPal Credit - resulted in identification of a backend bug and flagging fraudsters availing credit from over 100 fake accounts

Jul 2018 – Jul 2019 · 1 yr

Jul 2017 – Jul 2018 · 1 yr

Jun 2016 – Jul 2017 · 1 yr 1 mo

• Designed a product upgrade strategy for an issuer by creating a look-alike model of its cardholders and overlaying it with their profitability to select high valued actionable segments - recommending a potential product upgrade opportunity for their xx high valued customers
• Developed propensity models for an issuer bank to predict the best customers to cross-sell banking facilities like SIP, Cash Advance and Balance Transfer
• Analyzed the 360 degree profile of a retail client’s customers by developing a fuzzy matching algorithm linking client’s data to Mastercard's and build a model to predict the customers with high likelihood to shop luxury - calculating the potential incremental revenue for the client by category expansion into luxury retail
• Recommend focused marketing activities for an adventure park by evaluating spend profiles of potential customer segments using the K-means clustering methodology
• Designed an automated SAS based campaign targeting tool for opportunity sizing of merchants to partner with specific banks to run customer acquisition campaigns
• Analyzed the differences in spending patterns of Omnichannel customers vs Digital-only and Offline-only customers to understand the additional value such customers provide to a merchant

May 2015 – Jul 2015 · 2 mos · Mumbai Area, India

• Worked on a project to asses the impact of macroeconomic indicators on the portfolio performance of TATA Motors Finance Limited. Built a logistic model using various business as well as macroeconomic variables to build scorecards predicting the probability of defaulting in loan repayment.