Data annotation and analytical experience (structured dataset labeling, QA, and validation)
Worked on annotating and reviewing structured datasets to ensure accuracy, consistency, and quality assurance for AI/ML use cases. Performed data categorization, labeling, and tagging, and helped detect inconsistencies, duplicates, and formatting issues. Used Python and spreadsheet-based workflows for validation and basic cleaning while following documented annotation guidelines. • Reviewed dataset entries against annotation guidelines • Labeled and tagged data to support AI/ML workflows • Identified duplicates, inconsistencies, and formatting errors • Documented review/annotation processes for consistency