Daniel Guetta is an associate professor of Professional Practice at Columbia Business School and Director of the Business Analytics Initiative at the Columbia Business School and Columbia Engineering. His research focuses on the ways companies can harness the power of data and analytics to drive value. He teaches classes in business analytics, including data science, pricing, supply chain management, and technical tools such as Python and cloud computing.
Guetta has authored award-winning case studies in the area with a number of companies and co-authored Python for MBAs. He was the 2020 recipient of the Singhvi Prize for Scholarship in the classroom. Prior to joining the faculty at Columbia Business School, he was a data scientist and engagement manager at Palantir Technologies, where he worked with clients around the world in fields ranging from finance to pharmaceuticals to help them solve their hardest problems using data. He completed his undergraduate studies in physics and mathematics at Cambridge and MIT and holds a PhD in Operations Research from the Columbia Business School.
Associate Professor of Professional Practice
Columbia Business School