Nathan West is a data scientist with a decade of engineering experience blending machine learning, data engineering, and cybersecurity research. Currently at JPMorgan Chase after roles at Carnegie Mellon’s Software Engineering Institute, he builds production-ready data solutions informed by academic research into ML-driven security. Comfortable moving between research and applied engineering, he has shipped data pipelines and software that bridge experimental models and enterprise systems. Based in Pittsburgh, he pairs a Computer Science degree from Virginia Commonwealth University with hands-on intern-to-staff progression that reveals strong mentorship and practical delivery skills. An underrated strength is his ability to translate cybersecurity research insights into scalable engineering artifacts for high-stakes environments.
9 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Virginia Commonwealth University
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