Joshua Maxwell is a data scientist with 12 years of experience applying mathematical rigor to real-world problems across government and public-sector organizations. Currently at the Department of Defense, he specializes in energy consumption forecasting and plant optimization, having built large ensemble models and used functional analysis for anomaly detection. His background includes predictive modeling for employee turnover, demand forecasting, and time-series Monte Carlo simulations, supported by strong skills in Python, R, SQL, and Matlab. Trained in applied mathematics and physics (M.S. and B.S. from Missouri S&T), he blends nonlinear differential equations, numerical optimization, and feature-reduction techniques developed during years of mathematical-biology research. A former Marine Corps cryptologic linguist, he brings disciplined analytics and cross-domain curiosity to complex data problems.
12 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Applied Mathematics, 4.0, Master of Science - MS, Applied Mathematics, 4.0 at Missouri University of Science and Technology
Iranian/Persian Languages, Literatures, and Linguistics, Iranian/Persian Languages, Literatures, and Linguistics at Defense Language Institute Foreign Language Center
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