Murali Pagolu
Senior Analytical Consultant, SAS

Murali Pagolu is a Senior Analytical Consultant at SAS and has four years of experience using SAS software in both academic research and business applications. His focus areas include database marketing, marketing research, data mining and customer relationship management (CRM) applications, customer segmentation, and text analytics. Murali is responsible for implementing analytical solutions and developing proofs of concept for SAS customers. He has presented innovative applications of text analytics, such as mining text comments from YouTube videos and patent portfolio analysis, at past SAS Analytics conferences. He holds six SAS certification credentials covering a variety of SAS technical skills, including Data Integration, Business Intelligence, Platform Administration, and Base and Advanced Programming techniques using SAS 9. He is also a certified predictive modeler using SAS Enterprise Miner 6. Murali holds a master's degree in Management Information Systems from the Spears School of Business at Oklahoma State University, Stillwater. He was presented the "Outstanding Student" award by the Spears School of Business for his academic excellence in the SAS and OSU Data Mining Certificate program. He is a member of the Marketing Analytics and Data Mining Individual Advisory Board at Oklahoma State University. He is also a member of Beta Gamma Sigma, the international honor society for collegiate schools of business.

During his time at OSU, Murali won several scholarships to attend SAS Analytics, SAS Global Forum, and SAS regional conferences. His "Eliminating Response Style Segments in Survey Data via Double Standardization before Clustering" poster was selected as one of the top-5 posters in the student poster competition at the M2010 Data Mining Conference. He is part of a team that won an honorable mention award at the M2010 Data mining Conference and second place at the A2011 Analytics Conference for annual data mining shootout competitions. He received the SAS Student Ambassador award at SAS Global Forum 2011 for his paper on standardization techniques to eliminate response style segments in survey data. Prior to his graduate studies in the United States, he worked as an IT consultant at a software services firm in India for more than four years. During that time, he was responsible for maintaining and supporting straight-through processing (STP) applications for a global financial services firm. He also holds a bachelor's degree in Electrical and Electronics Engineering from Osmania University, India.

By This Author

Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS®

Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS®

By Goutam Chakraborty, Murali Pagolu, and Satish Garla

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.


2014-2015 Society for Technical Communication 

Award of Excellence: Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS®