Gordon has a B.A in Pure Mathematics and a M.A. in Applied Mathematics from CUNY Queens College. He briefly worked for a early stage startup where he was involved in building an algorithm to analyze financial data. However, most of his time has been spent working in various roles in academia —the latest being as an Adjunct Mathematics Lecturer. He is equally comfortable in both the Python and R Data Science stacks, but is strictly Python for Software Engineering. Outside of traditional Data Science, he is also interested in Soccer Analytics and the Open Data movement. With regard to the latter, he has recently become involved with Beta NYC.
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