Attrition Prediction Engine

By August 9, 2019 Case Study

Customer: IT services company

Problem Statement

An IT services company faced severe attrition challenges in the competitive Indian job market. They felt that an attrition prediction engine will help them address this issue.

Proposed Solution

Powerup built a machine learning-based attrition prediction engine on the cloud. The engine uses historical data of employees who left the company in the last 2 years,
demographic data of current employees, employee satisfaction survey results and manager feedback. The engine runs the ML algorithms once a month and shares a
report to HR on the likelihood of someone quitting in 3 months. The engine’s accuracy in the first quarter has been above 75%.

Technologies used

Spark, Python, Tensorflow.

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