Douglas Puett is a highly accomplished professional in the field of data science and engineering, with extensive experience in user research and machine learning. Having studied design thinking at Stanford University, Douglas went on to attain a master's degree in quantitative methods in the social sciences at Columbia University and a bachelor's in history from Cornell University.

Douglas has worked with highly regarded organizations such as UserTesting, LinkedIn, and Pulse News App, where he has held roles like Head of Data Science & Engineering, Software Engineer (Machine Learning), and Data Scientist. As a researcher at Columbia University, Douglas made significant contributions to the field of data science before taking up teaching and residential faculty positions at The Webb School and Cornell University, respectively.

Douglas has a deep interest in user research and its implications for making the digital world a better place. As a leader in decision science, machine learning engineering, data engineering, and product management, Douglas has a track record of leveraging data to make better and faster decisions for product teams driving P/M fit.