Greg Gandenberger is a data scientist at ShopRunner in Chicago. Before becoming a data scientist, he received a PhD in History and Philosophy of Science from the University of Pittsburgh and held research positions in Munich, Germany and Bristol, England. His academic research addressed questions about the proper interpretation of statistical methods, such as what to do with the results of an A/B test that is ended earlier than planned. He has worked as a private math tutor and a test-prep teacher in addition to teaching university courses on scientific reasoning. As a former unhappy academic, he appreciates how much a career change can improve your life and is eager to help General Assembly students reach their professional goals.
In recognition of his exemplary service in the classroom, Gregory has been selected as a member of General Assembly's Distinguished Faculty program.
Data Science Remote (Online)
In this part-time course from General Assembly, learn to build robust predictive models, test their validity, and clearly communicate resulting insights.
In this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.