DataQualityAssurance / Dataset Curator — Data labeling & categorization support
Performed data labeling and categorization to support analytics and machine learning workflows using curated datasets. Implemented dataset validation steps to ensure labeled information remained consistent and reliable for downstream usage. Documented integrity checks and quality metrics to support trustworthy analysis and reporting. • Labeled and categorized data for analytics/ML use cases • Ensured label consistency through validation and profiling • Curated datasets to make labeled data usable for stakeholders • Defined quality metrics (accuracy, completeness, consistency, timeliness)