Snehal Umale

About Snehal Umale

Clinical Data Analyst with 3+ years of experience transforming healthcare data into actionable insights to improve patient outcomes, reduce costs, and support value-based care initiatives.Currently at Cardinal Health, I analyze clinical, claims, and population health data for 1.2M+ members, building predictive models for readmission and utilization risk and developing executive dashboards integrating Epic, Cerner, and claims data across 50+ facilities. My work has supported $4.2M in cost-saving opportunities through preventive care and risk-adjusted performance analytics.My expertise includes:• SQL, Python, R, PySpark, Databricks, Snowflake• Power BI & Tableau dashboard development• Predictive modeling (XGBoost, Logistic Regression)• Population health, risk stratification & SDoH analytics• CMS quality programs: HEDIS, MIPS, STAR, HCC• FHIR/HL7 integration and HIPAA-compliant data pipelinesI’m passionate about using data to drive clinical performance, improve access to care, and support healthcare organizations in transitioning to value-based models. Open to new opportunities and relocation.

Experience

1. Healthcare Data Analyst

   Cardinal Health

   Jun 2025 — Present · Melbourne, FL, US

   Analyzed chronic disease, claims, and patient outcome data for 1.2M+ members using SQL and Python to identify utilization trends, adherence gaps, and opportunities for population health improvement. Developed advanced Power BI dashboards consolidating Epic, Cerner, and claims data, visualizing 120+ facility performance indicators to support executive decision-making in quality and cost management. Designed predictive models in Databricks (XGBoost, Logistic Regression) to forecast inpatient admissions and readmission risks across 50+ facilities, helping optimize staffing and resource allocation for high-volume care sites. Integrated FHIR and CMS Blue Button 2.0 data streams with enterprise data marts, improving care coordination, interoperability, and risk adjustment accuracy for value-based care initiatives. Automated ETL and data validation workflows using Airflow and dbt to monitor 25+ data quality metrics across pharmacy, claims, and demographic datasets, ensuring consistent compliance with HEDIS and MIPS standards. Led financial and clinical analytics for the “Value-Based Care Cost Analysis” initiative, performing risk-adjusted benchmarking and STAR rating analysis that uncovered $4.2M in potential savings through preventive care optimization. Conducted population segmentation and SDoH analytics for the “Healthy Access” program, identifying 18K+ high-risk individuals for targeted intervention and reducing emergency department utilization. Built HIPAA-compliant data workflows and Tableau dashboards on AWS, enabling secure and efficient analytics access for cross-functional teams during CMS audit reviews. Partnered with clinical, operations, and finance teams to translate data insights into measurable care improvements, driving better patient outcomes and optimized reimbursement models.

Education

• Florida Institute of Technology

  Master's degree, Biomedical/Medical Engineering

• Mgm College Of Engineering & Technology

  Bachelor's degree, Biomedical/Medical Engineering