Master’s in Computer science, Seasoned Analyst with more than 7-year experience in B2B, B2C eCommerce, Aviation MRO application development. Love talking about data and thrive on explaining the meaning of data to non-technical stakeholders. Seeking to use good domain and quantitative skills within the field of analytics. ? Experienced in scripting/programming by using R, SQL, Statistical Packages, Basics of Tableau, SAS, and Python. Predicted customer attrition for Mongolian Telecom company Mobicom data using Logistic Regression analysis. Predicted target segment for customer retention campaign and revenue maximization. ? Created visualization on most valuable brand data from Forbes web page data for a clear understanding of brand value in various industries. ? Predicted the factors which impact the brand image of a snack manufacturer using Logistic Regression using survey data. ? Built classification model for pay-day loans using Decision Tree algorithm. Grouped customers with high bad rate and low bad rate basis employer name. Built an efficient model to denote rows of data corresponding to each group. ? Built Hierarchical clustering for a football team using cluster analysis. ? Created a plot for Network analysis of tweets using “Fruchter man Reingold” layout. ? Personal Running/Marathon data understanding analysis to identify the pace group and trend using clustering & descriptive statistics. ? Predicted new products reach with reviews by sentiment analysis using classification algorithms. ? Analyzed men’s cricket team data prepared by ESPN website and predicted most impacted player on India’s win-rate through the runs a particular player has scored within the list of players who have scored more than 10000 runs in ODIs Using Excel. ? Predicted the relations for salary and promotion factor with an employee.