Daniel Finkel is a Principal Data Scientist with a decade of experience applying applied mathematics and advanced analytics to real-world problems across government, healthcare, and commercial research. With a PhD in Operations Research and a background at MIT Lincoln Laboratory, SMG, and state technology services, he blends rigorous mathematical modeling with practical machine learning, text analytics, and spatial analysis to deliver customer-focused solutions. He has a track record of moving research into production—building algorithms for SurveyMini, bringing big-data platforms into operations, and leading data science teams at both public and private organizations. Based in Dedham, MA, he pairs deep technical expertise in optimization and applied math with strong product sensibility, often translating complex models into actionable insights for stakeholders. A former computational optimization intern at Boeing and long-time engineer, he brings uncommon breadth—from national-security research to commercial analytics—alongside a steady emphasis on usability and impact.
10 years of coding experience
12 years of employment as a software developer
PhD Mathematics Operations Research, PhD Mathematics Operations Research at North Carolina State University
BS Mathematics Computer Science, BS Mathematics Computer Science at State University of New York at Fredonia
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