Human Emotion Project

Human Emotion Analytics is an end-to-end data analysis and business intelligence project focused on understanding emotional patterns and wellbeing insights from reflective session data.

The project involved cleaning and transforming 1,200+ records using Python and SQL, performing exploratory data analysis, applying NLP techniques on text-based reflections, and developing analytical models to identify emotional trends and outcomes.

Interactive dashboards were created using Power BI with custom DAX measures and visualizations to track key metrics such as session outcomes, stress levels, sleep impact, and environmental factors.

The final solution transforms raw data into meaningful insights that support data-driven decisions and improve understanding of human emotional behavior.