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Srijitha Katkuri
Mid-level Data Analyst specializing in healthcare and business intelligence
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Healthcare analytics candidate with hands-on experience turning messy EHR, billing, and operational data into validated SQL datasets and automated Python/Airflow pipelines. They appear strongest in hospital KPI reporting—especially length of stay, readmissions, retention, and bed utilization—and have owned projects from metric definition through Power BI delivery and impact measurement.
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Key Strengths
- Healthcare analytics across EHR, billing, and operational data
- Built clean analysis-ready SQL tables from messy large datasets
- Strong data quality handling with missing value, format standardization, and deduplication techniques
- SQL performance tuning using filters, indexing, optimized joins, CTEs, and execution plans
- Automated Python analytics workflows with pandas, NumPy, and Airflow
- Delivered Power BI dashboards for LOS, readmission, and utilization KPIs
- Owned end-to-end LOS analytics from metric definition through rollout
- Used patient segmentation to identify delay drivers
- Measured business impact with pre/post analysis showing reduced LOS and improved bed utilization
- Drove stakeholder adoption through metric alignment, documentation, and dashboard integration
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