- Developed the data solutions to help business grow using Machine Learning or Data driven analytical approach.- Developed the segmentation model classifying products into standard, premium and speciality variants using k-means clustering.- Partnered with various stakeholders to build Looker dashboards to create views that provide continuous business insights.

Key Projects:FX International Payments (FXIP) – Propensity model: Developed the model to predict the propensity of Small Business cardmember to enrol for FXIP.Engineered features related to MYCA visits from foreign IP address, spend on foreign merchants and foreign tickets.Commercial Share of Wallet: Ideated Commercial Spend and Lending share of wallet as part of Primacy Framework.Formulated dependent variable using relevant line items from financial statements for size of wallet models.Built the models to predict Lend and Spend size of wallet for Small Business and Corporates.Mentored a contractor to build the model predicting size of wallet for Banking pillar of Primacy framework.Business Loan Prepayment Prediction: Developed the model predicting interest revenue loss due to prepayment.Achievements:Awarded Commercial Marketing Decision Science – Superstar of the Quarter for excellent performance in Q2’21.Awarded Extra Mile award for helping the team with OCC Examination for Business Loan Email Response Model.Position of Responsibilities:Core member of Good Citizenship Team of Enterprise Digital & Analytics since Apr’20. Coordinated food grain collection drive and also volunteered for online education drive for adults by AMEX.

Key Projects:Working Capital Terms (WCT) - Response Prediction: Built and deployed the first version of Response models for WCT for targeting across Email, MYCA and Tele channel.Engineered features related to time weighted solicitation history, cross product offers and AMEX website visits.Proposed Uplift Modelling technique to predict customer response through tele-marketing channel.Partnered with marketing team to make sure the offers are smoothly delivered to customers.Merchant Financing (MF) - Write off Prediction: Developed the models to predict MF write off for pure merchants as well as merchants with existing card relationship.Engineered features related to disputes, frauds, bankruptcy and previous loan repayment history.Small Business Administration – Pay check Protection Program (SBA PPP) Need Prediction: Constructed dependent variable to recognize the need of a card member or a merchant for SBA PPP loan.Developed and scored the models under stringent timelines as it was the special requirement for Covid program.Accounts Payable Automation (APA) Payment Solution - Response Prediction: Developed and implemented the unified response model predicting response across Email, MYCA and Field channels.Explored features related to accounts payable, accounting services related spend, APA page visits on website.Summer Intern Mentoring Program – 2020: Mentored an intern from MDI Gurgaon on Merchant Financing Response prediction model for Tele channel.Summer Intern Mentoring Program – 2019: Mentored an intern from IIT Bombay to build response model for cross selling of Small Business cards to Consumers cardholders.Achievements:Awarded Global Commercial Data Science - Analyst of the Quarter award for outstanding performance in Q3’19.

- Analysed the credit card data to compute credit card KPIs and generate insights deep diving those KPIS

Analysed customer satisfaction surveys and interviewed customers to prioritize factors affecting customer satisfaction for Welspun Steel Ltd.

Led the staff of 17 people responsible for operational and maintenance activities of oil production facilities

Worked closely on operations like cementing, drilling, logging and mud mixing under the guidance of experts.