Data Labeling & Classification (HR Operations)
This project involved applying data labeling and classification principles to Human Resources datasets within recruitment and employee management processes. I worked with structured and unstructured HR data such as resumes, candidate profiles, and employee records, organizing and categorizing information based on predefined criteria to ensure accuracy, consistency, and usability. The work required careful attention to detail, strict adherence to labeling guidelines, and quality validation to maintain data integrity. By systematically classifying and organizing HR data, I supported efficient decision-making in recruitment and workforce management processes while developing skills relevant to AI training data workflows.