Alexander Dong is a skilled data scientist and machine learning engineer with extensive experience in developing and maintaining analytical models. At MIT Lincoln Laboratory, contributions included analyses for Air Force research on air vehicle survivability and missile guidance systems, alongside programming in C++ and MATLAB. As a data scientist at Evisort, key accomplishments involved developing models for extracting information from legal contracts. Additional experience includes an actuarial internship at MetLife where an actuarial model was created for group annuity contracts, and a position at Nebula where a natural language processing model was developed for job matching. Currently serving as a machine learning engineer at Meta, Alexander holds a Master of Science in Data Science from New York University and a Bachelor of Arts in Mathematics from Washington University in St. Louis.
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