Uday Bag is a seasoned Data Science Leader with 16 years of experience driving transformative AI and machine learning initiatives in healthcare. He specializes in the payer (health insurance) sector, optimizing claim adjudication, risk assessment, and operational efficiencies. Uday’s deep technical expertise spans Python, SQL, TensorFlow, Apache Spark, and Tableau capabilities he has leveraged to develop predictive models, automate workflows, and build large-scale data pipelines that improved claim adjudication accuracy by 20%.
As a Lead Product Consultant with Cognizant, Uday has configured and managed Medicaid, Medicare, and CHIP programs, ensuring precise claims processing and regulatory compliance. He is adept at TriZetto Facets and NetworX, orchestrating benefit setups, provider contracts, and advanced reimbursement structures. Beyond healthcare, Uday explored blockchain and decentralized finance (DeFi), designing smart contract-driven lending, borrowing, and yield farming protocols.
Known for his collaborative spirit and analytical rigor, Uday reduces operational costs and enhances accuracy by implementing cutting-edge data solutions. He holds a Master of Science in Computer Science from Georgia Institute of Technology and has completed specialized certifications in Healthcare Management, Machine Learning, and Deep Learning. Dedicated to improving healthcare outcomes through technology, Uday continuously explores innovations such as NLP and decentralized systems to bolster transparency, security, and efficiency in health services.