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Ajitha Rachamanti
Mid-level Data Analyst specializing in healthcare and financial analytics
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Healthcare analytics candidate with hands-on experience turning messy claims and clinical data into validated SQL/Python pipelines and Power BI dashboards. They have delivered measurable impact in revenue cycle operations, including 15-18% improvement in reimbursement accuracy and 40-45% reduction in manual reporting effort.
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Key Strengths
- Healthcare claims and clinical data analytics
- Building SQL pipelines for messy large-scale data
- Strong data quality validation and reconciliation practices
- SQL performance optimization with indexing and modular query design
- Python workflow automation for reproducible analytics
- End-to-end analytics ownership from problem framing to dashboard delivery
- KPI definition and stakeholder alignment
- Power BI dashboard development for operational reporting
- Reduced manual reporting effort by 40-45%
- Improved reimbursement accuracy by 15-18%
- Identified denial and coding patterns to support revenue cycle improvements
- Translating analytics into actionable business insights
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