Data Analyst (AI Data Quality & Annotation Support)
As a Data Analyst supporting AI data quality and annotation, I led data validation, cleaning, and labeling initiatives on large text datasets. I performed consistent manual QA checks and classified or tagged records to ensure data suitability for machine learning and AI workflows. My work focused on identifying ambiguous cases and refining guidelines for improved annotation outcomes. • Ensured data consistency and accuracy through manual QA and anomaly detection. • Collaborated on and supported AI-related annotation workflows. • Used SQL and Python (Pandas) to prepare and validate data for annotation. • Contributed to improving and maintaining annotation standards and practices.