- Automated the mystery shopping process, which was earlier being done manually, to identify and shop for listings corresponding to probable fraudulent sellers. Also, took buyer side (buyer authenticity and buyer-return comments) into consideration. - Implemented an end-to-end system, from obtaining the data present in the form of raw HIVE tables inside BigFoot (Flipkart's internal Data Store) to making the generated reports of probable fraudulent sellers, downloadable from Ops UI (Operations Team), after running them through an ML model for testing seller on different features. Also integrated this implementation with Order Management System to automate ordering of the listings generated in the reports.