At CVS Health, I analyzed business requirements and operational datasets to identify system issues and recommend workflow improvements. I used SQL, Python, Pandas, and NumPy to support business decisions.
I developed and optimized SQL queries, DAX measures, and Power Query transformations, reducing Power BI dashboard load times by 35%. I also maintained dashboards tracking 20+ operational KPIs.
I validated and reconciled data across source systems and reporting outputs, maintaining 98%+ reporting accuracy. I automated recurring validation and anomaly-detection checks and evaluated ETL/ELT workflows.
As a Graduate Assistant at Texas State University, I analyzed and validated 50,000+ records and supported reporting requirements and user acceptance testing. I documented data definitions, validation rules, and reporting workflows.
