Daniel Guetta is Associate Professor of Professional Practice at Columbia Business School. 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, operations, and technical tools such as python and cloud computing. He has authored award-winning case studies in the area, and co-authored "Python for MBAs". Prior to joining the faculty at Columbia, 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.
Daniel Guetta is Associate Professor of Professional Practice at Columbia Business School. He teaches classes in business analytics, has authored award-winning case studies in the area, and co-authored "Python for MBAs". Prior to joining the faculty at Columbia, he was a data scientist and engagement manager at Palantir Technologies. 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.