Summary
John Clements is a Senior Data Scientist with seven years of experience marrying statistics, econometrics, and machine learning to build production-ready analytics and ML solutions. He has applied this blend across energy, finance, retail, and fleet risk — currently driving data science initiatives at Duke Energy after roles at BlackRock, The Home Depot, and LeasePlan. Comfortable from experimental design and statistical modeling to deep learning (VAEs) and cloud deployment (SageMaker, Lambda, SQL), he excels at translating data-generating processes into actionable insights and automated tools that cut decision time from hours to minutes. His background in international relations and government internships gives him a rare ability to communicate complex quantitative findings to nontechnical stakeholders. Continuously learning and interested in variational autoencoders and ML-powered applications, he prefers challenging team environments where analytical rigor and pragmatic engineering meet.
7 years of coding experience
2 years of employment as a software developer
Master's degree Statistics, Master's degree Statistics at North Carolina State University
Master of Arts - MA International Relations and Economics with a Specialization in Quantitative Methods, Master of Arts - MA International Relations and Economics with a Specialization in Quantitative Methods at Johns Hopkins School of Advanced International Studies (SAIS)
Bachelor’s Degree Economics and Political Science, Bachelor’s Degree Economics and Political Science at University of North Carolina at Chapel Hill