This project aimed to revolutionize healthcare delivery by adopting value-based care models that prioritize cost efficiency and patient satisfaction. By addressing inefficiencies in clinical and claims operations, the goal was to align services with business objectives while enhancing overall outcomes.
•Designed value-based care models for 10 clients, addressing inefficiencies in clinical and claims operations.
•Leveraged data insights to identify key improvement areas, achieving a 15% reduction in healthcare costs and a 20% increase in patient satisfaction.
•Collaborated with cross-functional teams to align operations with client business goals.
This project focused on driving digital transformation by delivering actionable insights to executive-level stakeholders. The aim was to leverage data to influence strategic decision-making and enhance value realization across the healthcare industry.
•Conducted quarterly business reviews (QBRs) for executive clients, showcasing data-driven strategies.
•Presented insights that increased value realization by 20% across 35 healthcare providers.
•Standardized KPI logic to create consistent performance tracking frameworks, enabling better decision-making.
The project was designed to optimize operational efficiency by automating reporting processes. The goal was to reduce manual intervention, minimize errors, and enhance the timeliness and accuracy of weekly and monthly reports.
•Automated weekly and monthly reporting pipelines, significantly reducing manual intervention and errors.
•Utilized SQL and Tableau to optimize report generation, achieving faster turnaround times.
•Developed Python-based batch processing scripts, cutting processing time and enhancing data accuracy.
Tools: Python, SQL, Power BI, Excel