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