Data QA Workflow — Personal / Coursework
Created Python validation scripts to check for missing labels, format inconsistencies, and duplicate entries in labeled datasets. Reduced dataset errors by 40% through systematic evaluation and correction cycles. Ensured accurate metadata and data integrity through rigorous review processes. • Programmed and executed custom Python scripts for QA tasks • Evaluated datasets for completeness and annotation consistency • Flagged, corrected, and documented dataset errors in real-time • Reported on QA outcomes to improve future annotation workflows