Jason blends machine learning skills with an engineering background to deliver innovative solutions. In his previous line of work, he applied his passion for problem solving and data analytics to identify and tackle some of the defense industry's most difficult manufacturing challenges. After extensive practice with descriptive and diagnostic analytics in an industry setting, he now seeks out new challenges in the realm of predictive analytics and machine learning. Jason received his Bachelors of Science in Industrial and Systems Engineering from Binghamton University, and has previously worked as an industrial engineer at Raytheon.
Introduction The Two-Sigma connect challenge was to predict interest-level—high, medium, or low—of RentHop apartment listings in the New York City area. This is a classification problem […]
Introduction Choosing the right medicine should be an easy process. For common symptoms such as a cold or a minor ache, one should be able to […]
Introduction While New York City is a popular attraction for many things, driving is not one of them. Joining the ranks of the Top 10 Worst […]
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