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Rajeshwar Peri
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 CRM data into validated reporting tables, automating monthly reporting in Python/Airflow, and operationalizing churn metrics in SQL and Tableau. They appear especially strong in stakeholder-aligned metric design and delivered a reported ~10% churn reduction through cohort analysis, segmentation, and at-risk member targeting.
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Key Strengths
- Built SQL pipelines combining healthcare claims and CRM data into reporting-ready tables
- Strong data cleaning and deduplication using window functions and standardization rules
- Rigorous validation with row-count, aggregate, and edge-case checks
- SQL performance optimization using EXPLAIN plans, partitioning, indexing, and incremental loads
- Automated monthly reporting in Python with modular ETL scripts and Airflow scheduling
- Translated analytics into business action by surfacing cost trends and anomalies faster
- Owned end-to-end churn analytics from metric definition through rollout
- Stakeholder alignment through kickoff meetings, metric definitions, and iterative sample reviews
- Delivered measurable retention impact with interventions that reduced churn by around 10%
- Operationalized consistent churn definitions in SQL models and Tableau dashboards
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