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.

Simulates student activities using a simplified Probabilistic Finite Automaton (PFA) for recommender system studies.

Normalized OULAD dataset in MySQL with secure Python ETL, constraints, roles, and analytics

This project predicts Ivy League admission chances using Linear, Ridge, and Lasso Regression. It includes EDA, feature engineering, assumption testing, and model evaluation, highlighting key factors like GRE, TOEFL, CGPA, SOP/LOR strength, and research experience to provide actionable insights for students and consultants.

Predicting student performance using study hours, previous scores, sleep, practice sheets, and extracurricular participation with linear regression, Random Forest, and XGBoost in R.

A machine learning project to predict student final grades using academic and demographic data. Built with pandas, scikit-learn, and visualized with seaborn and matplotlib to gain insights and support early intervention for students.

EduTrack analyzes student performance across math, reading, and writing using Python, Pandas, and Seaborn. Through statistical insights and visualizations, it uncovers trends in gender, parental education, socioeconomic factors, and prep courses, guiding equity-focused educational strategies.

machine learning web app that predicts students’ math exam scores using demographic and academic factors. Built with Flask, HTML/CSS, and a Random Forest model trained on the Student Performance dataset. Interactive, insightful, and easy to use.

A Power BI dashboard project that analyses mental health indicators among students across diverse educational programs in India.

platformă pentru studenții ase cu predicții pentru performanțe academice și analiza progresului - hostată pe un raspberry pi 5

A Tableau data visualization project analyzing student performance using the xAPI-Edu-Data dataset to uncover how absenteeism, parental involvement, and engagement metrics influence academic success.

Consola IA para Cuadro de Mandos CEU (OpenAI+PandasAI)