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Murali Krishna Vempalli
Mid-level Data Analyst specializing in retention, churn, and customer analytics
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Analytics professional with experience across healthcare and fintech, including building SQL/Python data pipelines at Optum and owning a fraud detection initiative at Razorpay. Stands out for combining messy-data cleanup, reproducible analytics workflows, and stakeholder-driven metric design, with a reported 25% improvement in fraud detection while keeping false positives under control.
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Key Strengths
- Transforms messy large-scale healthcare data into reporting-ready tables
- Strong SQL data engineering with joins, staging/final tables, and deduplication logic
- Builds reproducible Python analytics workflows with PySpark and modular validation steps
- Balances scalability by moving heavy processing from Pandas to PySpark
- Owns end-to-end analytics projects from problem framing through rollout
- Fraud analytics experience with classification modeling and risk segmentation
- Improved fraud detection by around 25% while controlling false positives
- Defines and operationalizes business metrics such as patient retention
- Effective stakeholder alignment through phased validation, documentation, and dashboard walkthroughs
- Experience delivering analytics outputs to Power BI dashboards
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