Shashank Mahesh Mysore
Data Analyst | Healthcare Risk Adjustment & Fintech Compliance | SQL · Python · Tableau · AWS
- Role
- Data Analyst at Esurance
- Location
- New York, NY, US
- LinkedIn followers
- 500 followers
About Shashank Mahesh Mysore
Data analyst with 3+ years of experience turning large-scale healthcare and financial datasets into decisions that save money, reduce risk, and keep organizations compliant.At Esurance, I work across 3M+ Medicare patient records — optimizing SQL pipelines, building Tableau dashboards for 20+ Medicare Advantage plans, and supporting ML models that improved Risk Adjustment Factor (RAF) prediction accuracy by 10%. Earlier at Datamatics, I built AML/PCI DSS compliance pipelines processing 1M+ daily transactions, cutting fraud losses by 12% and saving 20+ hours per week through automated reporting.My toolkit spans Python (Pandas, Scikit-learn), advanced SQL, Tableau, Power BI, Snowflake, AWS (S3 + Redshift), and SSIS — all applied in HIPAA, GDPR, and SOX-regulated environments.I\'m actively looking for mid-level Data Analyst roles in healthcare or fintech where I can keep doing what I love: finding the signal in messy data and making it useful.Open to opportunities across the US. Let\'s connect.
Experience
Data Analyst
Aug 2025 — Present · NY, US
Analyzing 3M+ Medicare patient records to support CMS risk adjustment, RAF scoring, and HIPAA-compliant reporting across 20+ Medicare Advantage plans.• Reduced SQL query execution time 30% by rewriting CTEs and window functions against Epic EHR + SQL Server data.• Designed Tableau dashboards that replaced manual Excel-based reporting, saving ~40% of reporting overhead.• Improved Risk Adjustment Factor (RAF) prediction accuracy by 10% by preparing ML training datasets and validating Random Forest / Logistic Regression models (Scikit-learn).• Cut CMS claim rejection rates 18% through SQL-based pre-submission validation scripts.• Leveraged AWS S3 + Redshift for large-scale claims storage, reducing query runtime 20%.• Standardized ICD-10, CPT, and HCC codes using Python (Pandas, NumPy), improving model-ready data quality.
Education
Pace University - Seidenberg School of Computer Science and Information Systems
Master's degree, Data Science
Visvesvaraya Technological University
Bachelor of Engineering - BE, Computer Science
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