Swasi Mk
Data Analyst @Molina Healthcare
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WORK HISTORY
Data Analyst @Molina Healthcare
US
Designed population health Power BI dashboards improving preventive care by 19%.Automated claims discrepancy detection using SQL & Azure Data Factory, reducing manual effort by 26%.Built chronic patient segmentation and provider scorecards using Azure analytics tools.Improved demographic data quality by 60% through pipeline automation and QA validation.Identified 8% potential upcoding risks via diagnosis anomaly detection.Supported EHR migration and ensured HIPAA-compliant analytics workflows.Trained analysts on SQL optimization and reporting best practices.
ABOUT SWASI MK
Results-driven Data Analyst with 5+ years of experience transforming complex healthcare and financial data into actionable insights using SQL, Python, Power BI, Azure, and AWS.I specialize in building scalable ETL pipelines, optimizing SQL performance, designing executive dashboards, and developing predictive models that improve operational efficiency and reduce risk. My work has helped reduce patient admission prediction errors by 22%, cut QA turnaround time by 35%, improve reporting efficiency by 40%, and optimize inventory and sales performance across enterprise environments.I have hands-on experience with:• Azure Synapse, Azure Data Factory, Azure Blob Storage• AWS Redshift, AWS Glue, SageMaker, QuickSight• Python (Pandas, NumPy, Scikit-learn)• Advanced SQL performance tuning• Predictive modeling & time-series forecasting• Healthcare analytics (EHR, claims, HIPAA compliance)• A/B testing, cohort analysis & KPI dashboardsI enjoy working at the intersection of analytics, cloud engineering, and machine learning — delivering measurable business impact through data.
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