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Dinesh Puranam
  • Assistant Professor of Marketing

Dinesh Puranam's research focuses on measuring "voice" from unstructured data and understanding its implications for consumers, firms and regulators. The term "voice" is defined broadly to include all types of discussion captured in unstructured format- consumer opinions as captured in consumer reviews and blogs, intra firm discussions and, public communications by firms and regulatory institutions. He combines econometric methods, machine learning and natural language technologies to examine the influences on and of "voice". Prior to joining academia, he was an analytics and business process consultant for 9 years. He has worked on assignments in China, Mexico, India, the UK and the USA for companies such as P&G, GE, Discover Financial, Fingerhut and Hess Energy.

Areas of Expertise

Agency Theory
Artificial Intelligence (AI)
Deep Learning
Minimum Wage
Natural Experiments
Restaurant and Dining
Service Quality
Text Analysis

Departments

Marketing

RESEARCH + PUBLICATIONS