Raya Srujana Reddy

Artificial Intelligence Intern at Edunet Foundation (2024-06 – 2024-07)

Designed a linear regression model to predict employee burnout using real-world HR data.
Performed data preprocessing, feature engineering, and exploratory data analysis (EDA) to identify burnout indicators like workload and work-life balance.
Achieved R² score of 91.88% demonstrating strong correlation between predictors and burnout levels.
Implemented MSE, RMSE, and MAE to optimize ML model; decreased prediction error by 15% and improved accuracy.
Created a comprehensive project report and presented actionable insights to improve employee well-being.

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