Data Labeling Exposure as Library & Information Science Student
Engaged in data labeling as part of self-directed studies in information management and academic projects. Applied skills in cataloging and classification to organize and label text-based datasets relevant to information science. Explored the basics of AI training environments to supplement core coursework and technical interests. • Organized academic documents using classification schemes • Practiced information retrieval methods to label and categorize research data • Applied data analysis and reporting within technical projects • Gained foundational exposure to AI training tools and workflows