• Lead product strategy and development for data-driven healthcare analytics solutions. • Manage end-to-end product lifecycle, from defining features to deployment, using Agile methodologies.• Collaborate with cross-functional teams to deliver customer-focused data platforms. • Advise clients on leveraging market access data for strategic decision-making.• Mentor, coach and develop team members towards continual growth and excellence

• Developed and optimized data products and dashboards for pharmaceutical clients, enabling data-driven business decisions.• Managed Agile sprint planning and product backlog prioritization in JIRA. • Contributed to product architecture and integration strategies, enhancing data platform scalability.• Conducted UAT testing and collaborated with engineering teams to ensure product quality

• Ideated and implemented weekly change reports to compare the coverage changes, major payers and associated market share for various customers• Market data expert to educate and advise the clients on how to optimally use MMIT’s data products to support their business needs and address complex questions about market access• Collaborate with Dev and QA teams to clarify requirements to meet user acceptance test (UAT) activities, which helped develop customer confidence in the products• Write pseudo logic and algorithm for PM and Dev team to implement into the system based on Client’s custom requirements

• Performed data migration of around 300k active records using business intelligence ETL tool SSIS for healthcare insurance claims application, increased the system efficiency by ~50% • Developed large database application for Claims, Enrollment & Members data for all the employees of Infosys• Performed data validations using SQL and reporting to find operational and data entry errors in claims management using ICDs (international classification diseases) and CPT(Clinical procedural therapy code)• Trained and mentored new hires on existing project functions for smooth onboarding which subsequently increased team productivity

• Performed data quality/cleansing, de-duplication, and harmonization of data across various applications• Analyzed and solved problems at their root, identified critical issues; improving the efficiency by 40% in daily support activities• Parachuted into different teams to gather business and data requirements for the projects• Single-handily monitored all jobs and analyzed user behavior data, generated SQL reports for smooth flow of client operations