Enterprise Data Transformation and Cloud Migration

This project focused on revolutionizing the organization's data ecosystem by migrating on-premises systems to Azure Cloud and optimizing data workflows for enhanced operational efficiency and scalability.

•Migrated legacy on-premises infrastructure to Azure Cloud, ensuring enhanced scalability, performance, and real-time data access.

•Orchestrated intricate data workflows using Azure Data Factory, achieving a 30% improvement in data consolidation efficiency.

•Automated SQL queries to eliminate 90% of manual data handling, expediting processing and enabling data-driven decisions at scale.

•Designed and maintained financial reports, SOPs, and meeting documentation using Confluence and the company’s project tracker for effective stakeholder communication.

•Established a robust framework for real-time data updates and seamless collaboration between business units, driving operational excellence.

Claims Optimization through Predictive Analytics and Automation

This project aimed to enhance claims processing efficiency and accuracy by integrating predictive modeling, advanced analytics, and workflow automation into the organization’s operations.

•Led the development of predictive models to streamline claims approval processes, achieving a 15% increase in approval accuracy.

•Implemented analytics-driven automation, resulting in a 25% reduction in claims processing times and improved service delivery.

•Managed and analyzed data for over 500K insurance members and assigned PCPs, ensuring data accuracy for targeted initiatives.

•Enhanced operational workflows by leveraging machine learning algorithms and integrating them into the claims processing pipeline.

•Provided actionable insights to the operations team, significantly improving the accuracy and speed of decision-making.

Real-Time Performance Monitoring and Business Intelligence

This project centered on enhancing the organization’s decision-making and user experience by implementing real-time monitoring tools and business intelligence frameworks.

•Designed and managed real-time Tableau dashboards to monitor platform performance, proactively identifying and resolving anomalies for a seamless user experience.

•Automated data visualization and reporting processes, expediting access to key metrics for senior management.

•Established KPIs and benchmarks for monitoring Non-Primary Service Fills (NPSF), enabling targeted improvements across territories and timeframes.

•Delivered insights from ad-hoc analysis to optimize strategic initiatives, ensuring alignment with organizational goals.

•Provided senior leadership with comprehensive reports and visualizations, fostering data-driven strategies for sustained growth.

Tools: Python, SQL, Power BI, Excel, Jira