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This Power BI dashboard analyzes employee attrition, visualizing key metrics such as overall attrition rate, hiring trends, and active employees by department and job role. It includes demographic insights, performance tracking, and detailed attrition analysis by various factors, helping stakeholders manage and reduce employee turnover effectively.
atrrition rate is a calculation of the number of individuals or items that vacate or move out of a larger, collective group that can be an organization over a specified time frame.
This project employs logistic regression and advanced analytics to predict employee attrition, enhancing organizational productivity. Leveraging machine learning, it develops a robust model using features like age, job satisfaction, and work environment. Through EDA, feature engineering, and grid search model tuning, it optimizes performance metric
This study uses machine learning to predict and understand employee attrition, aiming to provide actionable insights for proactive human resource strategies based on diverse employee attributes.