Machine Learning Model to Predict Work Force Attrition

Employee attrition problem is becoming worse day by day in many tech firms across the globe. It has been observed that the employee attrition (churn) rate is increasing and is on a higher side in IT firms due to the unforeseen reasons of quitting or switching jobs frequently. This is applicable from small scale to large scale industries. Cost of hiring a new employee is way more than retaining an existing one. Attaining a new resource requires training, knowledge transfer, time for getting comfortable with new company's or team's environment. Critical resources who are familiar with the technologies, platforms and environment of the company create a huge impact on the customer success and if such resources leave then it becomes a loss for the company, be it a short term loss but it multiplies if the number of attrition is huge. This leads to escalations from customer as well. This paper explains you in detail on how to address this problem across the IT firms using Machine Learning Model. This model predicts whether a resource is about to leave or not in near future and predicts the possible reason behind leaving. Notifying this information to Human Resource team will help them understand the list of resources who are not satisfied with the work, office environment, work life balance, opportunities, job location, etc. and to take on time action to retain them.