Published Paper Details:

Employee turnover is a costly problem for companies. The actual cost of replacing an employee can often be quite high. This is due to the time spent interviewing and finding a replacement. By understanding why and when employees are most likely to leave the company, steps can be taken to improve employee retention. We will try to solve the following problem statement: To use machine learning algorithms to determine whether an active employee leaves the company, identify the key indicators of an employee leaving the company and recommend policies or strategies that can be adjusted based on the results to improve employee retention There are several areas where organizations can use technology for decision support: Artificial intelligence is one of the most innovative technologies that is widely used to help organizations in with business strategies, organizational aspects and human resource management. In recent years, human resources (HR) have received increasing attention, as the quality and qualifications of the workforce represent a growth factor and a real competitive advantage for companies. After its introduction into sales and marketing departments, artificial intelligence will also be used in human resources management to control employee-related decisions. The purpose is to support decisions based not on subjective aspects but on objective data analysis.