This project analyzes a dataset (from Kaggle) containing basic information about employees of a company along with metrics potentially influencing their attrition decisions. By using data analysis tools and methods, combined with statistical techniques and machine learning models, the work provides insights into the workforce trends. It aims to explore the reasons behind employee turnover and propose solutions or recommendations for human resource management issues within organizations and businesses. Note: README under revision and will be updated soon.