Rajesh Jogi

AI-ML Trainee

TASK – Edunet Foundation•  June 2023 - July 2023

To predict employee burnout Analysis during an internship at TASK Edunet Foundation. Utilized features including mental fatigue score, work from home status, and workload in the burn rate regression and exploratory data analysis. Prepared data for analysis by treating null values and encoding categorical variables. Studied correlations and applied techniques such as grid search cross-validation and polynomial features to the data. Aimed to build a model that could accurately predict burnout risk, potentially helping organizations prevent burnout and promote employee well-being.