Rahul Telang

Rahul Telang is an Indian American author and professor in the field of information systems and commercial analytics at Carnegie Mellon University’s Tepper School of Business. Telang has authored or co-authored eight books and over 100 articles in leading journals across the United States and in Europe. His most recent book, Data Smoothing and Missing Data Imputation: Practical Guide for Business Analysts, was published in 2020.

Telang’s research focuses on data modeling and analytics, such as marketing analytics, decision scientific strategies, customer segmentation, and market share estimation. He also explores the development of tools for decision science, including machine learning and artificial intelligence, which are becoming increasingly important in today's digital world. His research has been published in many prominent peer-reviewed journals like the Harvard Business Review and the Journal of Marketing Research.

Telang's books are primarily about data analysis and its practical application in the business world. He has written books such as Data Mining for Dummies, Predictive Analytics for Dummies, Analytics for Managers, Data Smoothing and Missing Data Imputation, and Advanced Excel for Business Analysis. All of these books are designed to help business analysts and decision makers to become more effective in their work.

Telang is a member of the Association of International Business, Academy of Management, Institute of Industrial Engineers, and Operations Research Society of America. He has also been a recipient of several awards, including the National Science Foundation CAREER Award and Andrew Carnegie Fellowship. He was also selected as a Global Alumni Leadership Award recipient by Carnegie Mellon in 2017.

Telang is an international speaker and a research consultant for several companies. He has provided keynote speeches at a range of conferences and events, such as the Pan American Business Congress, the International Conference on Business Intelligence, the American Marketing Association Conference, and the Institute for Operations Research and Management Sciences.

Telang has served as a mentor for several business analytics and model projects. He has also provided advice to various corporations on popular topics such as data mining and market segmentation.

Telang's work has been featured in multiple books and journals like Harvard Business Review, MIT Sloan Management Review, Operations Research, and Marketing Science. In 2015, he authored a chapter titled “Analytics for Decision Making in a Business Organization” for the book Introduction to Business Intelligence and Analytics, published by Routledge.

Telang is a highly respected and accomplished business author. His writing and research have helped to shape our understanding of data analysis and its applications in the fields of business and economics. With his work, he has laid the foundation for businesses to develop advanced data-driven decision-making strategies and processes.telang

Telang also has a passion for advising young entrepreneurs and students, and often speaks at events and seminars related to analytics and decision science. He serves as a professor of management science and the Executive Director of the McGinnis Venture Competition at Carnegie Mellon. His expertise and commitment to excellence in data analysis and management make him one of the leading authorities in the business analytics field.