Raghu S.

About Raghu S.

US CitizenAnalytics professional & thought leader with 15+ years of experience providing insightful analysis to address complex business problems. Demonstrated ability leveraging big data to deliver strategic insights. Experience engaging cross-functional business partners in testing/analysis and building consensus. Lead teams by influence and find opportunities to add value. Expertise in using sophisticated statistical modeling & machine learning techniques to build methodology frameworks. Proficient in several statistical tools and digital campaign management technologies. Statistical Methods: Sampling and Estimation, Hypothesis Testing, Univariate and Multivariable Linear Regression, Instrumental Variables Regression, Regression with Panel Data, Logit and Probit models, Nonlinear Models, Mixed Models, Generalized Linear Models, Time-series Regression and Forecasting, Bayesian Analysis, Regularization Techniques (Ridge, Lasso, Elastic net), Discriminant Analysis, Factor Analysis, Cluster Analysis, Tree-Based Models, Support Vector MachinesSoftware: Languages - R (working knowledge of MapReduce functionality), SQL, Python, EViews, SAS, STATA, MATLAB, SPSSAnalytics/Reporting Tools: Tableau, PowerBI, Hadoop, AWS, GCP, Azure, DatabricksDigital Advertising:Ad-Serving Platforms – Sizmek, Google Marketing PlatformSite Analytics – Google Analytics, Adobe AnalyticsDSP’s – Appnexus, The Trade Desk, Tubemogul, Adobe Media Optimizer, Marin, Facebook Ads Manager

Experience

1. Morgan Stanley

   Present

Education

• The Ohio State University

  MA, Economics

  2010

• University of Wisconsin-Madison

  BA, Mathematical Economics/Applied Mathematics

  2007

• University of Calcutta

  B.Com, Business/Commerce (Accounting)

  2003

• The City College of New York

  MS, Mathematics (Applied Mathematics, Probability and Statistics)

  2021