Sasank R

Built interactive Power BI dashboards using DAX measures and Power Query transformations to visualize product usage and subscription KPIs for non-technical stakeholders. Developed reusable SQL queries (joins, CTEs, window functions) against SQL Server to assemble reporting datasets for recurring operational and adoption reporting. Partnered with project leads to define key metrics and visualization needs, documenting acceptance criteria and tracking delivery in JIRA/BRD artifacts. Automated recurring reporting extracts with Python and Pandas, reducing manual reporting effort by 25% and enabling deeper analysis. Validated dashboard data against source systems, resolved refresh exceptions, and documented data-quality checks. Standardized dashboard layout and filter conventions across the team to improve consistency and shorten stakeholder review cycles.

Designed Tableau dashboards with calculated fields, parameters, and drill-down actions to present claims, member, and provider metrics for payer and provider operations teams. Built reporting datasets from claims and eligibility data using SQL, applying HIPAA-aware handling practices and de-identification rules for PHI in scope. Analyzed claims denial and revenue cycle exception trends to identify a recurring gap tied to prior-authorization intake, producing exception summaries that drove workflow improvements. Reconciled recurring claims and eligibility feeds by documenting source-to-target mappings and validation rules to keep downstream dashboards accurate. Translated utilization and value-based care datasets into plain-language visual summaries across Medicare, Medicaid, and commercial programs. Documented data governance and privacy controls for reporting outputs to support approved access and handling standards.

Developed Tableau dashboards and SQL reporting queries for a healthcare provider client, presenting encounter and service-line metrics for operational review. Gathered stakeholder requirements, documented metric definitions and visualization needs in BRD artifacts, and maintained requirements traceability and UAT evidence. Validated dashboard outputs against source extracts, improving data accuracy by 20% through systematic reconciliation checks. Supported recurring reporting cycles by coordinating with project leads to confirm data accuracy and resolve discrepancies before release, ensuring dashboards met agreed reporting and privacy expectations.