Bensong Chen is a Director of Data Science with 12 years of industry experience and a deep technical pedigree spanning Capital One and Google, where he led teams that turned massive logs and external data ecosystems into production-grade analytics and risk models. He architects AWS-first stacks for real-time and batch feature engineering, holds every major AWS certification as of 2021, and champions DevOps automation, code quality, and engineering best practices across enterprise data science communities. His work focuses on credit policy, machine learning credit valuations, and compliant advanced analytics for US card portfolios, bridging data science and data engineering to operationalize models at scale. An academic at heart, he teaches DevOps and ethics in data science as an adjunct professor and holds a PhD in Computer Science with research on large-scale network optimization. He continuously augments his skillset with numerous Nanodegrees in ML, AI, computer vision, NLP, and autonomous systems, reflecting a hands-on approach to emerging technologies. Pragmatic and research-grounded, he excels at translating theoretical methods into auditable, high-impact production systems.
12 years of coding experience
20 years of employment as a software developer
Doctor of Philosophy (PhD), Computer Science, Doctor of Philosophy (PhD), Computer Science at North Carolina State University
Data Streaming Nanodegree, Information Technology, Graduated, Data Streaming Nanodegree, Information Technology, Graduated at Udacity
Master of Engineering (MEng), Computer Engineering, Master of Engineering (MEng), Computer Engineering at Graduate School, The Chinese Academy of Sciences
Build, Test, and Analysis Tools for Skia Infrastructure
Contributions:49 commits in 6 months
infrastructureanalysis-toolsskia
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