Satish Garla is a former Senior 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.
By This Author
Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS®
This hands-on guide to text analytics using SAS provides detailed, step-by-step instructions and explanations on how to mine your text data for valuable insight. Through its comprehensive approach, you'll learn not just how to analyze your data, but how to collect, cleanse, organize, categorize, explore, and interpret it as well. Text Mining and Analysis also features an extensive set of case studies, so you can see examples of how the applications work with real-world data from a variety of industries.
- Marie Gaudard is a consultant specializing in statistical training with the use of JMP. She is currently a statistical writer with the JMP documentation team
- Satish Garla is a former Analytical Consultant in Risk Practice at SAS.
- Sam Gardner is a Senior Research Scientist at Eli Lilly and Company where he is focusing on business analytics and using statistical modeling.