Fraud Model:- Developed a machine learning-based predictive model to identify early warning signals of high-risk transactions- Implemented audit flags in the model, proactively mitigating losses by addressing token-level risks- High-Risk Model resulted in a 50% drop in cancellation rate and a 60% reduction in high loss rate- Owned end-to-end execution including data ETL, model/API development, performance monitoring, and evaluationRe-Inspection Change Model:-Developed Re-Inspection Change Model, identifying car downgrade parameters, and increasing QC efficiency by 20%Website Pricing A/B Test:- Conducted various A/B Tests to enhance website pricing, resulting in Customer conversion increment

• Reviewed business processes across vertical to assess scope of improvement in Procure to Pay process• Analysed requirement feasibility with its impact in the procurement process and maintained optimal performance• Coordinated between management and technical team for implementing iProcurement• Conducted system testing workshops for improving system functionality and provided training to stakeholders