Abstract

Employee turnover has become a big challenge for Information Technology\ncompanies. The departure of key software developers might cause an enormous loss to an\nIT company since they also depart with important business knowledge and important\ntechnical skills. Understanding developer turnover is very important for IT companies to\nretain talented developers and reduce the loss due to developer’s departure. In this Project,\nmonthly self-report of the software developers includes developer\'s activities, working\nhours, no of projects they have been assigned, etc., will be been taken into account for\nanalysis for doing the prediction with the help of Data Science algorithm. By using, Naive\nBayes classification algorithm and SVM algorithm, the Classification and Prediction model\nwill be created. The performance of both the models will be compared on an experimental\nbasis and deliver the result of which algorithm is performing better. Then, this model will\npredict whether the employee will leave the company or not.