Human Emotion Analytics

Human Emotion Analytics is a data-driven project designed to uncover meaningful patterns in emotional wellbeing data and transform raw reflective session records into actionable insights.

The project includes a complete data analytics workflow: data cleaning, preprocessing, exploratory analysis, SQL-based data modeling, NLP analysis of reflective text, and visualization through Power BI and Tableau.

Using 1,200+ session records, I developed interactive dashboards to monitor emotional outcomes, stress levels, sleep patterns, and environmental impacts. Custom DAX measures and analytical techniques were applied to create clear KPIs and support better understanding of user behavior through data.