At Cognizant, I maintained SQL logic and Python ETL workflows that transformed approximately 80K+ financial records daily. I built automated checks for duplicates, missing accounts, and period-over-period variances before records reached downstream reporting.
At St. Jude Children’s Research Hospital, I built data quality controls across clinical research programs and developed Python and SQL workflows to prepare datasets for analysis. I also managed Azure data pipelines and reconciled processed records against source data for milestone reporting.
At the University of Memphis, I analyzed experimental datasets and automated integrity checks and exception flagging. In my DemandSense project, I processed and validated 913K+ transactional records and built scheduled workflows that achieved 11.2% WAPE on demand forecasting.
United States