Yamini Potturi

Yamini Potturi is a seasoned AI/ML Data Engineer with extensive experience across multiple industries, including finance, healthcare, and logistics. At Truist, significant contributions were made in real-time fraud detection and credit risk exposure management, achieving a 38% reduction in unauthorized transfer losses and enhancing VaR calculation latency. Prior to that role, impactful work at Mayo Clinic focused on optimizing ETL/ELT pipelines and developing scalable data models for analytics. Experience at Nationwide involved designing data warehousing solutions, and earlier work at Tata Consultancy Services established a foundation in data engineering. Currently, contributions at UPS include leveraging Azure technologies for real-time data processing and implementing predictive ML models, resulting in improved delivery efficiency and a 15% reduction in operational costs.