Grainger
Ranga Raghunathan is an experienced data science professional currently serving as Director of Applied Machine Learning at Grainger since February 2016, where responsibilities include leading a team to develop machine learning solutions focused on NLP, text mining, and real-time ML micro-services. Previous experience includes roles as Senior Data Scientist and Data Scientist at Orbitz Worldwide, contributing to product enhancements through data mining and machine learning, and as a Junior Data Scientist at Simple Energy, where efforts centered on customer insight and predictive modeling. Ranga's early career involved internships and roles in software engineering and control systems, coupled with academic experience as a Graduate Teaching Assistant and Research Assistant at the University of Colorado Boulder, where Ranga earned a Master of Science in Electrical and Computer Engineering.
Grainger
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As a leading business-to-business organization, more than 3.2 million customers rely on Grainger for products in categories such as safety, material handling and metalworking, along with services like inventory management and technical support.