Sr. Data Science Consultant |Sr.Avp
CurrentWorking as a Sr. Data Science consultant for CEDA team for Enterprise Customer remediations, major highlights of work include:📌Operationalization and maintenance of Safety net models to identify potential escalated complaints with a potential impact of ~ 20 million in savings from manual reviews. This includes the development and delivery of end-to-end pipeline for Safety net survey transcripts as well as collaborating with technology and business partners to understand key drives that provide value, integration of scoring components and development of post-model code for annotation.📌Coordinated with model governance through continuous engagement with AI-COE partners to resolve issues around sampling and design requirements and completion of model governance documents to deliver results in a timely manner.📌Have provided ad hoc support to different teams for addressing Model risk factors and model development. (making myself always available for any kind of support)📌Handling multiple LOBs along with this: Customer Journey, Fraud and claims management. 📌In the Customer journey through the transaction related issue in which developing anomaly detection for the future scope applied various statistical approach like T-test and Mannwhitney test to benchmark on the desired threshold for detecting any anomaly and generating week over week counts of the same. Building Time series models to compare on the cyclicity of the issues over weekdays vs weekends.📌In the Fraud and claims management project which deals with handling any fraudulent activities related to customer account or any such activity.