Predictive Modelling of Employee Turnover in a Consumer Durables Company
Business Problem
Every year ~ 15% of employees leave XYZ company and need to be replaced with the talent pool available in the job market.
The percentage of employee turnover (employees leaving, either on their own or because they got retrenched) impacts the
Company negatively due to the following reasons:
Project delays, resulting in a reputation loss among consumers and partners
An enhanced employee headcount needed to be maintained as attrition cover increasing employee costs
Productivity impact due to training & acclimatization of new hires before being put on the job thereby losing valuable time
Analytics Objectives
Identifying key predictors of Employee Turnover leveraging data science tools
To understand what factors XYZ company should focus on to curb turnover, in other words , what changes should be made
in the workplace, in order to get majority of their employees to stay engaged and productive
Problem Solving Methodology
Data Understanding
Data Preparation
Univariate Analysis : Continuous Variables
Multivariate Analysis : Categorical Variables
Multivariate Analysis : Categorical Variables continued
