Greg Gandenberger is a data scientist at Uptake, where he uses computer vision to improve machine learning models and develop new applications. Before coming to Uptake, 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 this part-time course, students learn to build robust predictive models, test their validity, and clearly communicate resulting insights.