AI Data Quality Improvement Project (Personal/Academic)
In the AI Data Quality Improvement Project, I focused on enhancing dataset accuracy for machine learning applications. I learned how data quality directly impacts AI model effectiveness. I contributed by implementing improved annotation techniques and quality checks. • Increased overall reliability of annotated datasets. • Developed quality metrics for consistent data evaluation. • Improved annotation processes for text-based data. • Gained experience in hands-on dataset analysis and review.