Anindya Ghose

About Anindya Ghose

Anindya Ghose is the Heinz Riehl Chair Professor of Business and the Director of the Masters of Science in Business Analytics program at NYU Stern School of Business. He is the author of the best selling and multiple award winning book, TAP: Unlocking The Mobile Economy which has been translated into five languages. In 2014 he was named by Poets & Quants as one of the “top 40 outstanding business school professors under 40 in the world” and by Analytics Week as one of the “top 200 thought leaders in Big Data and Business Analytics”. His rise from Assistant to Full Professor in 8.5 years is widely considered as one of the fastest in the history of the elite business schools globally. He is the youngest recipient of the prestigious INFORMS ISS Distinguished Fellow Award and the AIS Fellow Award. In 2017 he was recognized by Thinkers50 as one of the Top Management Thinkers globally. He was ranked in the top 1% of the world’s most influential researchers by the Web of Science between 20••••18. He received the Distinguished Alumni award from IIM Calcutta in 2022.He teaches courses on digital marketing and business analytics at 6 different degree levels (including C-Suite) at NYU. Anindya has worked with several Fortune 500 companies in the US, Asia, Africa, and Europe as consultant and coach. He is a frequent keynote speaker in leading events globally and has given more than 300 talks internationally including TEDx.He has been retained as an expert witness by Apple, Alibaba, Facebook, Google, Snapchat, Verizon, Pinterest, and Yahoo, among others and is affiliated with Compass Lexecon. He sits on the advisory board of several firms in N. America, Europe, and Asia in the mobile, AI, adtech, martech space, including NetCore, Revenue Roll, iBus, Leverage Edu, Tamoco, and EywaMedia. He has consulted to and worked in various capacities with Alibaba, Apple, Berkeley Corporation, CBS, China Mobile, Dataxu, DFS Group, Facebook, Google, IBM, Microsoft, NBC, Samsung, Snapchat, SK Telecom, Travelocity, Verizon, and Yahoo amongst others. His research has been recognized with 27 best paper awards and nominations. His expert commentaries have appeared in Bloomberg TV, BBC, CNBC, Economist, FT, NYTimes, Forbes, NPR, TIME, Wired & WSJ. He is a winner of the NSF CAREER award, and 14 grants from Adobe, Google, Microsoft and other corporations. He is also a patent owner. He has published more than 120 peer-reviewed journal & conference papers. Anindya is an avid high altitude mountaineer. He has climbed in multiple continents, and is looking forward to his next summit.

Experience

1. Advisor

   Tie

   Aug 2021 — Present · US

Education

• Carnegie Mellon University - Tepper School of Business

  Ph.D., Management Sciences

  2000 — 2004

• Indian Institute of Management, Calcutta

  MBA, Finance, Marketing

  1996 — 1998

Skills

• Social Media
• Web 2.0
• Social Networking
• Digital Marketing
• Mobile Measurement
• Quantitative Analytics
• Big Data
• Mobile Devices
• Measurements
• Online Advertising
• Data Mining
• Start-Ups
• Business Strategy
• Statistical Modeling
• Research
• Economics
• Analytics
• Management Consulting
• Entrepreneurship
• Marketing Research
• Machine Learning
• Data Analysis
• Higher Education
• Business Analytics
• R
• Time Series Analysis
• Competitive Analysis
• Operations Research
• Statistics
• Strategy
• Optimization
• Predictive Analytics
• Quantitative Research
• Stata
• Predictive Modeling
• Financial Modeling
• Mobile Marketing
• University Teaching
• Market Research
• Web Marketing