Matthew Wasserman
About Matthew Wasserman
Matthew Wasserman is a Data Analyst at MassMutual in the New York City Metropolitan Area with a background in economic theory and mathematics.
Current Position at MassMutual
Matthew Wasserman is currently a Data Analyst at MassMutual, situated in the New York City Metropolitan Area. His role involves analyzing large datasets to inform business decisions and strategies. At MassMutual, he applies his expertise in data analytics to drive insights and optimize processes within the organization.
Previous Experience at Flatiron School
Matthew Wasserman served as a Data Science Coach at Flatiron School from 2019 to 2020 in the Greater New York City Area. During his 11-month tenure, he guided students through complex data science concepts and practical applications, helping them build a strong foundation in machine learning, neural networks, and natural language processing.
Work at National Finders Service
Prior to his role at Flatiron School, Matthew Wasserman worked as a Researcher at National Finders Service for 8 years, from 2011 to 2019, in the Greater New York City Area. His responsibilities included conducting in-depth research and data analysis to support various initiatives within the organization.
Educational Background
Matthew Wasserman has a diverse and solid educational background. He completed an 11-month data science program at Flatiron School in 2019, where he took courses on machine learning, neural networks, and natural language processing. Additionally, he holds a Bachelor’s degree in Economic Theory with a concentration in Mathematics from New York University. His academic journey also includes extensive coursework in linear algebra, probability, real analysis, topology, numerical analysis, and convex optimization.