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Sindhu Rangineni

@sindhurangineni

Data Analyst at SyneosHealth turning healthcare claims and clinical data into insights, including reports that cut turnaround from 3 days to under 6 hours.

United States
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At SyneosHealth, I analyze healthcare claims, clinical, and patient outcomes data using SQL and Python. I automated recurring performance reports, reducing turnaround time from 3 days to under 6 hours.

I’ve designed Power BI and Tableau dashboards for patient enrollment, treatment adherence, cost utilization, and clinical outcomes. My work also includes SQL data models across Snowflake and Azure Synapse, plus predictive analyses of patient drop-off and treatment gaps.

At CitiusTech, I analyzed payer and provider datasets and developed reporting solutions for HEDIS, STAR ratings, utilization, and member outcomes. I also built ETL workflows with SQL and Azure Data Factory and supported HIPAA-compliant data validation and reporting.

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University of Michigan logoUM

University of Michigan

Master of Science, Health Information Technology

2022 - 2024

Master of Science in Health Information Technology from the University of Michigan, completed in April 2024.

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