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RIYA CHADDHA
Mid-level Data Engineer and Business Analyst specializing in cloud ETL and analytics
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About
Data analyst with cross-industry experience spanning insurance analytics at L&T Infotech and experimental imaging analytics at Mylyser. Stands out for building scalable SQL/PySpark data pipelines, standardizing business-critical metrics like claims lifecycle and policy retention, and delivering measurable impact such as 50%+ faster query performance and a 15% reduction in claims settlement time.
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Key Strengths
- Built end-to-end insurance analytics pipelines from raw operational data to warehouse reporting tables
- Strong SQL optimization on large datasets, reducing query runtimes by over 50%
- Deep data modeling expertise including dimensional models and SCD Type 2 historical tracking
- Robust data quality and validation practices using reconciliations, constraints, and aggregation checks
- Automated reproducible Python analytics workflows for scientific imaging data
- Cross-functional stakeholder alignment across claims, underwriting, finance, and BI teams
- Designed standardized retention and churn metrics with clear business-rule handling for edge cases
- Delivered measurable business impact, including ~15% reduction in average claims settlement time
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