• Developed Machine Learning Model (Classification and Regression Tree) for Real Time Decline Strategy to decline potential fraudulent transactions on credit cards.• Developed SAS frameworks for Outlier detection basis customer credit card transactional patterns & demography.• Forecasting of fraud provisioning using consumer transaction behavior, demographic indicators and key portfolio drivers.• Preparing and delivering business cases to justify the introduction of new (or updates to existing) fraud prevention and detection strategies.• Developed and maintained key fraud control measures such as false positive ratios, ADR, VDR etc• Periodic rationalization and reporting of fraud strategies.• Developed a framework for segmentation of fraudulent callers in IVR data using MS Access Macros & Queries.• Developed self-decisioning tool for Balance Transfer review process file preparation time by more than 65%• Developed an analyst performance score card to measure the productivity.• Guiding and mentoring to new teammates to achieve their goals in time and with quality.• Identifying areas to automate processes & procedures to reduce man hours in regular BAU activities.• Liaison with stakeholders across function and Leadership Team to identify the risk and build mitigation strategies.• Provided Excel training to over 60 employees across the functions.