Summary
Yang Chen is a data scientist who blends eight years of full-stack engineering and MLOps experience with a passion for fine art, currently advancing his expertise through a Master’s at the Institute for Advanced Analytics. He has driven measurable impact across finance and consulting—consolidating enterprise data systems to cut costs by millions and optimizing real-time credit underwriting pipelines from 20+ seconds to sub-second latency. Comfortable across Python, R, PyTorch, MLflow, Snowflake and cloud CI/CD, he has built end-to-end ML pipelines and operationalized BERT-based models serving millions of customers. Earlier roles in software consulting and platform engineering honed his ability to modernize interfaces and reduce query and processing times by double-digit percentages. He frequently bridges product, engineering, and users to deploy practical models to production, and views data science as a creative practice that amplifies design tools for creative professionals. Based in Raleigh, NC, he brings a rare combination of production-grade ML deployment skills and hands-on art-community experience.
9 years of coding experience
2 years of employment as a software developer
Master's degree Data Science, Master's degree Data Science at Institute for Advanced Analytics
Bachelor's degree Computer Science, Bachelor's degree Computer Science at The University of North Carolina at Chapel Hill