Douglas Puett
About Douglas Puett
Douglas Puett is a Data Science and Machine Learning Lead at Infinitus Systems, Inc., with a diverse background in data science and software engineering across several prominent organizations, including LinkedIn and UserTesting.
Work at Infinitus Systems
Douglas Puett currently serves as the Data Science / Machine Learning Lead at Infinitus Systems, Inc. He has held this position since 2024, working in a hybrid environment. His role involves leading data science initiatives and machine learning projects, contributing to the company's technological advancements.
Previous Experience in Data Science and Machine Learning
Prior to his current role, Douglas Puett worked at UserTesting as Senior Director of Machine Learning and Data Science from 2015 to 2023. He also held positions at LinkedIn as a Software Engineer focusing on Machine Learning from 2013 to 2015, and at Pulse News App as a Data Scientist from 2012 to 2013. His experience spans various aspects of data science and machine learning applications.
Educational Background
Douglas Puett has a solid educational background in quantitative methods and history. He earned a Master's Degree in Quantitative Methods in the Social Sciences from Columbia University. He also holds a Bachelor's Degree in History from Cornell University. Additionally, he studied Design Thinking at Stanford University from 2015 to 2016.
Early Career and Teaching Experience
Douglas began his career in academia, working as a Tutor at the Mathematics Support Center at Cornell University from 2006 to 2009. He also served as a Math/History Teacher and Residential Faculty at The Webb School from 2009 to 2011. This early experience in education laid the foundation for his analytical and teaching skills.
Mentorship Role at Springboard
In 2016, Douglas Puett worked as a Data Science Mentor at Springboard for five months in the San Francisco Bay Area. In this role, he guided aspiring data scientists, sharing his expertise and helping them develop their skills in data science and machine learning.