Case Study

Student Lifestyle and Academic Performance Predictor

Predict GPA and stress levels using lifestyle signals.

Business Impact

Built a 2,000-record data science pipeline with feature engineering, cross-validation, and regression modeling.

Data ScienceRegressionModel Evaluation

Problem

Predict GPA and stress levels using lifestyle signals.

Solution

Structured preprocessing and feature engineering workflow

Business Impact

Built a 2,000-record data science pipeline with feature engineering, cross-validation, and regression modeling.

Delivery Notes

What this proves for a client project.

The goal is not to copy this exact product. It is to show the kind of product thinking, backend structure, AI workflow, and shipping discipline that can transfer to your business.

Structured preprocessing and feature engineering workflow

Compared Linear Regression, Random Forest, and SVR

Produced interpretable insights for stakeholder communication

Technology Stack

Tools used after the business case was clear.

PythonPandasScikit-learn

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