Summary
Nathan James is a Senior Data Engineer with 11 years of technical experience who builds data-driven solutions that turn large, messy datasets into actionable insights. He transitioned from hands-on roles at Tesla—where an early fascination with autopilot and pervasive telemetry sparked his interest in machine learning—into data engineering and production analytics at Entelligent and CVS Health. Trained in mechanical engineering and computer science (University of Colorado Denver) and sharpened by Galvanize’s intensive Data Science Immersive, he blends systems thinking, embedded-systems intuition, and pragmatic ML knowledge to design scalable pipelines. Nathan favors practical solutions—knowing when a simple model outperforms complexity—and maintains deployable data science environments on GitHub to accelerate reproducible workflows. Based in Littleton, Colorado, he’s actively seeking collaborative teams where his cross-domain curiosity and operational experience can drive measurable impact.
11 years of coding experience
7 years of employment as a software developer
BSME Mechanical Engineering Computer Science, BSME Mechanical Engineering Computer Science at University of Colorado Denver
Data Science Immersive, Data Science Immersive at Galvanize Inc
Business, Business at Western Colorado University
English, portuguese (brazilian)