Developed Python and Alteryx pipelines automating ETL for daily financial transactions, boosting data accuracy by 25% and enabling predictive portfolio risk insights for compliance and investment decisions. Optimized SQL queries for multi-year transaction datasets, cutting query time by 25% and accelerating compliance reporting and strategic investment analysis. Created Power BI dashboards with DAX for portfolio monitoring, KPI tracking, and risk exposure, integrating market feeds and transactional data to deliver actionable executive insights. Built Azure Data Factory ETL pipelines with incremental loads and dynamic parameterization, automating ~45 GB monthly dataset ingestion, reducing manual effort by 20%, and ensuring scalable, compliant integration. Performed advanced Excel modeling using pivot tables, macros, and scenario simulations, providing insights for asset allocation, liquidity forecasting, and revenue optimization. Standardized reporting and documentation in Confluence, i

Data Analyst at Cognizant

August 1, 2023 - August 1, 2023

Developed Python pipelines with Pandas and NumPy to clean, transform, and analyze multi-source patient datasets, improving data accuracy by 20% and enabling predictive analytics for population health and operational decisions. Automated ETL workflows using Apache Airflow, orchestrating daily patient and clinical data pipelines, reducing manual effort by 18% and ensuring timely, compliant availability of datasets for analytics and reporting. Validated Epic EHR data quality with clinicians, correcting 15% of anomalies, ensuring accurate dashboards, clinical KPIs, and predictive models that optimized hospital operations and patient outcomes. Optimized SQL queries on multi-year patient and claims datasets with indexing and partitioning, reducing execution time by 20% and enabling scalable, regulatory-compliant reporting and analytics. Built interactive Tableau dashboards, integrating patient outcomes, clinical KPIs, and care intervention data, reducing report generation time by 28% and del