A case study in Predictive Analytics to understand why employees leave a company and predict the next possible leaver

Analyzed employee turnover (Jan 2022 - Mar 2023) at my former organization, considering trends, departmental attrition, and tenure insights. Used predictive analytics from the 2022 Employee Engagement Survey to identify groups with flight risk. Incorporated Survival Analysis for temporal patterns, guiding decisions to improve retention.

Predict whether an employee will stay or leave the company

tracking survival rate of new employees with a best fitted Cox Proportional Hazards model using 4 most significant personality traits

[Project repo] On People Analytics for predicting employee turnover. (Employee Experience article included)

This code consists of KNN implementation for the scratch

Analysis and prediction of employee Turnover - People Analytics 101 Udemy Course

A Company uses this predictive analysis to measure how many employees they will need if the potential employees will leave their organization. A company also uses this predictive analysis to make the workplace better for employees by understanding the core reasons for the high turnover ratio.

Using Random forest to predict employee turnover

Decision trees and Random forests using scikit-learn and Python to build an employee churn prediction application with interactive controls