Digital Wellbeing Project
Analyzed a 500-person survey dataset to examine how social media usage predicts stress, sleep quality, and happiness, using Excel (validation, pivot tables), SQL/SQLite (aggregation), and Python (pandas, seaborn, scikit- learn). Built a Random Forest model predicting stress levels (R² = 0.517, MAE = 0.87) and translated findings into summaries for non-technical audiences.