GRADUATE STUDENT ANALYTICS & GPA PREDICTION MODEL

Overview

An end-to-end data science project analyzing the records of 2024 graduate students from Rajamangala University of Technology Isan (RMUTI) to uncover academic performance patterns. The project builds a machine learning model to predict the final cumulative GPA of incoming students, estimating their academic performance upon graduation based on their admission profiles.

Key Highlights

• Exploratory data analysis on a real-world university graduate dataset.
• Feature engineering from academic history, demographics, and prior education records.
• Machine learning model training and evaluation for cumulative GPA prediction.