Portable end-to-end skill pack for Web of Science bibliometric processing, topic modeling, mobility analysis, visualization, and deep-report generation.

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.

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

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