Data Analyst (New Flyer) — data validation and classification quality support
Analyzed and validated large operational datasets to ensure accuracy and consistency in downstream AI/analytics use. Identified anomalies, data quality issues, and classification errors across multiple data sources to support guideline-based labeling quality. Created data transformation and cleansing processes to improve the reliability of labeled records for analysis and reporting. • Performed validation of structured data fields and classification outputs. • Detected labeling inconsistencies and data integrity problems. • Applied cleansing/transformation workflows using query and reporting tools. • Collaborated with stakeholders to define business rules that guide correct labeling.