||Satish Garla is an Analytical Consultant in Risk Practice at SAS. He has extensive
experience in risk modeling for healthcare, predictive modeling, text analytics, and SAS programming. He has a distinguished academic background
in analytics, databases, and business administration. Satish holds a master's degree in Management Information Systems at Oklahoma State University and has completed the SAS and OSU Data Mining Certificate program.
He has three years of professional experience as an Oracle CRM Consultant, and he is a SAS Certified Advanced Programmer for SAS 9 and a Certified Predictive Modeler using SAS Enterprise Miner 6.1.|
Satish's research in health risk analytics, text analytics, market segmentation, and social media analytics has been presented at SAS Global Forum, JMP Discovery Summit, and other SAS regional conferences. He has developed a SAS macro to collect and analyze customized tweets from Twitter for which he was awarded SAS Student Ambassador for 2011 by SAS. He is also part of a team that won second place in the Data Mining shootout competition 2011 organized by SAS and Central Michigan University. Satish's paper on "Analyzing Sentiments Expressed about Wal-Mart and Sam's Club in Tweets" won first prize in the Walmart analytics competition and SAS Global Forum 2012 social media section. He also contributed a case study on sentiment analysis for the book, Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications.