Aditinanda Nanda developed a Synthetic Student Data Generator for the EC507/EC507 repository, focusing on creating realistic student datasets for analytics and testing. Using Python with NumPy and Pandas, Aditinanda engineered a script that generates records containing GPA, major, club participation, attendance, and a dropout indicator. The tool outputs data to the console and exports it as CSV files, supporting downstream analytics and machine learning workflows without exposing real student information. The work demonstrated a solid grasp of data generation and manipulation, delivering a repeatable solution for QA and experimentation, though the project scope was limited to a single feature.