Student Success Prediction
Project Type
Objective
Identified factors influencing student success using exploratory analysis, feature engineering, and interpretable predictive modeling.
Tools & Technologies
Project Details
Analyzed academic backgrounds of parents and students along with assessment data to identify patterns associated with student performance outcomes.
Performed data preprocessing, feature engineering, and exploratory analysis to understand correlations between engagement, coursework, and student outcomes.
Built and evaluated predictive models to assess performance drivers and trade-offs, focusing on interpretability rather than only raw accuracy.
Translated analytical findings into clear insights that could support early intervention and academic planning decisions.