- Built a Multiple Linear Regression model using Scikit-Learn achieving an R² of 0.93, with predictions accurate to within ~$11 on average across a 60-record dataset.
- Identified daily usage hours and number of subscriptions as the strongest spending predictors through correlation analysis and coefficient interpretation.
Tech stack