Pravin Pardhi, PhD

• Develop and maintain BI solutions, dashboards, and reports to support healthcare analytics. • Analyze large healthcare datasets to identify trends, insights, and business opportunities. • Collaborate with cross-functional teams to improve data-driven decision-making. • Ensure data integrity, accuracy, and security in compliance with healthcare regulations. • Translate business requirements into technical specifications for BI tools. • Conduct ad-hoc analysis and support executive decision-making with data-driven insights. • Train and mentor junior analysts on BI best practices and tools.

• Created Rich Graphic visualization/dashboards to enable a fast read on claims and key business drivers and to direct attention to key area • Implemented Row level security to restrict the data access as per allotted users • Actively involved in gathering requirements from end users, involved in modifying various technical & functional specifications • Managed user accesses using Tableau Server as a Site administrator • Performing data analysis and visualization using libraries such as NumPy, Matplotlib, and Seaborn

• Prepared various BI dashboards in Tableau for month on month business reports that measured on key performance indicators • Help business to decide and optimize number of distributors by identifying business insights and forecasting the trends for future analysis using Tableau • Interacted with Subject Matter Experts & End Users and gathered business requirements • Experience in migration of excel dashboard to tableau • Extensively used advanced chart visualizations in Tableau like Dual Axis, Box Plots, Bullet Graphs, Tree maps, Bubble Charts, Water Fall charts, funnel charts etc., to assist business users in solving complex problems

• Developed business intelligence dashboards for executive decision-making. • Extracted data from Tableau Server to create meaningful business insights. • Stay updated with the latest Tableau features and industry trends to enhance analytics capabilities. • Expertise in using features like parameters, sets, hierarchies, and drill-down functionality to enable interactive exploration of data.

• Managed data transformation using Excel and VBA. • Developed interactive slicers for business analysis and decision-making. • Optimize and automate reporting processes for efficiency and scalability.