In emerging developing countries such as India, companies heavily rely on their human workforce for services. That is why employee performance management at the individual level is must and the business case for implementing a system to measure and improve employee performance should be strong. The concept of the project is: Today majority of the giant retail companies are facing a lot of issues in their current assessment planning of their employees. This wrong assessment planning leads to employees not being used to the fullest potential which causes loss to businesses and major capital loss in man hours, also this assessment planning requires a lot of manual strategies which are very costly and hence these assessment strategies then turn out to be costly, time taking, biased and working on mostly non relevant data. We used the Machine learning classification technique for the extraction of knowledge significant for predicting employee performance using a .csv file sourced from (INX Future Inc.).

Employee Performance Analysis,SVM, Machine Learning, Algorithm K-NN algorithm, random forest

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