Dan is a senior data scientist / investment banker with global responsibility for bringing modern data science & machine learning tools to bear on traditional investment banking client dialogs. Dan acts as a critical interface between developers and decision makers, ensuring the creation and application of practical tools for generating useful and actionable insights around transactions.
In addition to traditional investment banking experience, Dan brings experience in application & web development, data science, and machine learning. Prior to joining Citibank, Dan built the global data science franchise in Goldman Sachs’ investment banking division, where he ran the debt capital markets and later mergers & acquisitions analytics teams, in addition to founding the Goldman Sachs India investment banking analytics office.
Dan graduated with Honors from Williams College with a B.A. in Economics, Mathematics and Statistics.