ravina13/IBM_Staff_Attrition

IBM STAFF ATTRITION November 2017 • Analyzed the responses of 1407 employee satisfaction surveys using R (ggplot2 package) to predict employee attrition for the 2016 fiscal year. • Processed raw data to handle missing values and to obtain consistent records for further analysis. • Examined patterns and gained insight on various possibilities of attrition using visualization techniques in R (Lattice) and Tableau. • Predicted future attrition and concluded variables that help build retention strategy by using logistic regression model.