Today I had the pleasure of interviewing Scott Cole. Scott is technically a machine learning engineer in the fintech space, but stubbornly prefers a “data scientist” title. He studied bioengineering at Clemson University before moving to UC San Diego for grad school where he developed algorithms and python packages to analyze brain wave data. Scott then went through the Insight Data Science program, and for the last 2 years has been building algorithms for detecting fake accounts on a peer-to-peer payment app. Scott’s most known for eating hundreds of burritos during grad school and curating a small database of their qualities along 10 dimensions. In this epissode we learn the origin of Scott's burrito dataset, how he narrowed his career search based on his interest, and how he is trying to create a data centric board game. I hope you enjoy the episode, I know I had a blast speaking with Scott.