Tejaswi Mopuri

I'm building reliable data workflows at George Mason University, where I validate, clean, and transform operational records for reporting, scheduling, inventory planning, and resource forecasting.

I prepare weekly consumption reports with Excel PivotTables and SQL, analyze daily trends with Python, and automated reporting templates that reduced manual reporting time by 20%. I also support SaaS implementation by loading operational data into centralized platforms with AWS Glue and AWS Lambda.

Previously, I developed 20+ SQL Server queries and Python scripts for GAO Tek's customer support ticket analytics dashboard, improving report generation speed by 35%. I reconciled more than 50,000 ticket records and improved issue categorization accuracy by 18% through data cleaning and validation.

My projects apply Python, SQL, Power BI, and NLP to loan default prediction, patient readmission analysis, and customer support ticket insights. I'm especially focused on making complex operational and healthcare data accurate, usable, and clear for both technical and non-technical stakeholders.