Built a pipeline using stats + SHAP to detect grading bias and evaluate teacher impact via attendance and marks data. Identified sensitive attribute influence (e.g., gender/religion) on student performance using explainable AI.

Projects

This project analyzes student performance in the INSY107 course (2020–2023) using Python to uncover trends by gender, department, and year for academic improvement.