Skip to content

Final presentation project for completing Rakamin Academy Data Science Bootcamp.

Notifications You must be signed in to change notification settings

mchosasih99/Employee-Attrition-Prediction

Repository files navigation

Employee Attrition Prediction

Final presentation project for Rakamin Academy Data Science Bootcamp.

Problem Statement

  1. What are the factors that drive employees to attrice?
  2. What steps can be taken to prevent employees from attrition?

Goals

  1. Finding the factors behind employees to attrice from the data provided using predictive modeling.
  2. Provide recommendations to prevent employees from attrition.

Methodology

  1. Data was collected from Kaggle
  2. Exploratory Data Analysis performed using Tableau Public.
  3. Data Pre-processing
  4. Predictive Modeling
  5. Result & Recommendations

Findings

  1. Top 3 Global features that drive Attrition are Overtime, Job Satisfaction and Environmnent Satisfaction.
  2. Changing the company's Overtime structure is the best way to reduce employee attrition since Overtime has a high impact on Employee Attrition.