Data Annotation for Academic/Personal Projects
Annotated and organized datasets for personal and academic projects to build a data portfolio and gain hands-on experience in data labeling tasks. Used spreadsheet and data analysis tools to classify, sort, and validate text entries. Focused on accuracy and organization, applying critical thinking to ensure high-quality labeled data for research and portfolio development. • Performed manual annotation and data cleaning for diverse text datasets. • Utilized Excel, Google Sheets, and Python for data organization and validation. • Ensured data consistency and accuracy for reporting and project needs. • Applied best practices in dataset management for portfolio-building purposes.