Data Labelling & QA Analyst
Labeled and categorized financial transaction data, customer intent records, and product interaction logs to support internal AI and machine learning classification models. Conducted multi-stage quality assurance checks on annotated datasets and compared outputs against benchmarks to ensure accuracy. Collaborated with data science teams to refine labeling requirements and maintained detailed audit trails for reproducibility. • Supported the training and evaluation of AI/ML models. • Ensured labeled data aligned with training objectives and ground truth. • Maintained comprehensive documentation of annotation decisions and resolutions. • Improved data taxonomy for more effective classification.