FitWell Analytics – Wearable Health Insights
Organization & Duration
Envision Virtue | 7 Days
Techniques & Tools
- Linear Regression, Correlation Analysis, KPI Development
- Python, scikit‑learn, Power BI
Key Outcomes
- Predicted heart rate with perfect model fit (R² = 1.0).
- Created custom metrics: BMI, Calories per Step, Intensity Karvonen.
- Developed a health monitoring dashboard using a Snowflake schema.
Insights
- Heart‑rate prediction model achieved R² = 1.0 → perfect forecasting accuracy.
- Calories per Step & Distance per Step were the strongest wellness predictors.
- Personalized fitness goals proposed based on BMI category & device usage trends.
Business Impact
FitWell Analytics transforms wearable device data into actionable wellness intelligence. The system supports personalized fitness planning, device‑based segmentation, and long‑term health monitoring through predictive modelling and engineered KPIs.
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