Summary
James Hampton is a data scientist with nine years of experience who blends a mathematics background and hands-on ML engineering to deliver data-driven solutions from ETL and analytics to productionized models. He currently works at Active Digital on data engineering, analytics, and ML projects while also teaching Python, statistics, and machine learning remotely for General Assembly, demonstrating a talent for translating complex concepts into accessible learning. Prior roles at Simple Intelligence saw him build image retrieval and recognition systems using classical descriptors, convolutional nets with ResNet transfer learning, FAISS, PCA, and custom ensemble/ranking pipelines. His teaching and one‑on‑one tutoring history reflects strong communication and curriculum-design skills that support stakeholder listening and clear result storytelling. Based in Kirkland, WA, he combines practitioner-level coding in Python, R, and SQL with production-focused database management and scraping tools, making him effective across the full data lifecycle. A not-obvious asset: he leverages classroom-tested explanations to make model outputs actionable for nontechnical audiences.
9 years of coding experience
2 years of employment as a software developer
Data Science, Data Science at General Assembly
Bachelor of Science (B.S.), Mathematics, Bachelor of Science (B.S.), Mathematics at Wheaton College