Cards and Retail Retention StrategyP&L Modeling and Valuation

Data Science & Strategy - Merchant & Commercial Credit & Fraud RiskKey Responsibilities:- Exploring strategic opportunities to mitigate Merchant Credit and Fraud losses and reduce write-offs globally- Business product owner of application that analyses merchants’ submissions globally- Strategy consultant to market risk teams and Amex payment partners - Work with cross-functional teams-operations, risk, tech, marketing to implement ML solutions and analytical rules- Frequent case reviews of high default incidents to understand nature of lossesAchievements:- Developed and implemented first version of Merchant Default ML model - usage across default, underwriting, commercial- Set up risk metrics for the merchant portfolio to capture default trends and create loss provisions- Implemented Fraud Risk ML model at point of sale for Prepaid Card portfolio

Strategy & Operations:Optimization of returns process for India market to reduce reverse leg losses:- Identified reduction in losses for failed returns of delivered items and undelivered items by improving reverse leg operations and recommending insurance and carrier/packaging changes - Initiated cross-functional alignment with reverse logistics, CS operations, category teams to implement action plan

Analytics and Product: - Built & implemented optimization models for vehicle scheduling, route sourcing & ETA prediction- Set up unit level metrics and reporting structures to improve operational efficiency & reduce service response time- Conceptualized consumer funnel for user acquisition which improved Install to Booking conversion by 30%- Driver Application: Implementation of features - trip management, boarding detection, performance & incentive card, offline GPS collection - Designed and implemented internal operation management dashboard for quicker resolution of ground and customer operations

Analytical Modeling and Consulting - Pharmaceutical domainGTM strategy for a leading US pharma client:- Developed ML models to predict sales volume for newly launched drug using retro market/competitor trends- Sales force and promotional teams optimization in US territories based on forecast, market share & potentialDigital Promotions Effectiveness for a US bio-pharmaceutical company:- Evaluated the effectiveness of various digital marketing channels used by the firm- Showcased changes in future promotional expenditures using regression models for all digital channels- Recommendations on which digital channels to emphasize/discontinue or to increase/decrease future spending

Analytical Modeling and Consulting - Pharmaceutical domain

Project 1: Optimization of 4 stage Outbound Supply Chain network of Tata Steel Global Wires, IndiaHandled supply chain for distribution of goods from plants to 33 distributors to over 6000 retailer sites; managed optimal inventory levels in warehouse to reduce overall supply chain costs.Reduced total distribution costs of finished goods by over INR 7 lakhs/month.Proposed restructuring of supply chain distribution channel in Rajasthan saving INR 3 lakhs/month.Project 2: Vehicle Routing ProblemSolved the routing problem for Tata Wires in the 12 cities in the state of Rajasthan saving 2300kms in transportation.

Internship in the Design Engineering Lab, Ulsan National Institute of Science and Technology, South KoreaProject Title: Analysis of Affordances and Human - Machine Cooperative Manufacturing System- Developed the mathematical model for analysing human affordances in Automated Manufacturing- Fabricated and demonstrated shop floor activities through command controlled equipments: Material Handler, Transporter, Robots and AGV controllers.