Decision Tree Insights on Employee Turnover

For this project, I analyzed an employee dataset to predict attrition using decision tree models. The dataset included various features such as salary, workload, years of experience, commmute time, and overtime. With this data the decision tree had two outcome variables. Whether an employee would continue to work at the company, or would leave the company. I was responsible for exploring the data, selectiong decision tree parameters, and interpreting the model results for my audience. During the analysis, I identified key foactors that influence employee attrition and developed solutions to improve employee retention. This project enhanced my skills in data prprocessing, model tuning, and intepreting data in busincess context that is useful in everyday problems.