Summary
Evan Canfield is a Senior Data Scientist based in Charlotte, NC, specializing in natural language processing and applied ML with seven years of industry experience. He designs and deploys production-ready models and pipelines in cloud environments (notably AWS and VertexAI), blending statistical rigor with DevOps practices to optimize training costs and model lifecycle management. His work spans transformer-based multi-label classification, active learning, topic-driven weak supervision, and robust sampling strategies to tackle class imbalance and accelerate labeling. Before transitioning to data science he spent over a decade in the nuclear power industry as a licensed Professional Engineer, bringing deep domain expertise in thermal-hydraulics, large-scale data processing, and field team leadership to complex, deadline-driven projects. Colleagues rely on him to translate messy text data into actionable insights and to build practical tooling—like collaborative labeling infrastructures—that materially speed model development.
7 years of coding experience
15 years of employment as a software developer
Masters Data Science and Business Analytics, Masters Data Science and Business Analytics at University of North Carolina at Charlotte
BE Chemical Engineering, BE Chemical Engineering at The Cooper Union for the Advancement of Science and Art
ME Mechanical Engineering, ME Mechanical Engineering at Rensselaer at Work