Text & Data Annotation Project (Categorization and Validation)
This project involved practicing data labeling and annotation tasks focused on text classification and structured data organization. I worked with sample datasets to categorize and label text entries based on predefined rules and guidelines. Tasks included classifying text into relevant categories, tagging entries based on meaning and context, and organizing datasets for clarity and consistency. I also performed data cleaning by identifying duplicate, incomplete, or inconsistent entries and correcting them to improve overall data quality. The project required strict attention to detail, consistency in labeling decisions, and adherence to defined guidelines. I implemented quality control measures such as reviewing labeled data, cross-checking entries, and maintaining uniformity across the dataset. This experience helped me develop strong accuracy, pattern recognition, and data validation skills, which are essential for AI training and data annotation workflows.