Summary
Christopher Gian is a Senior Data Scientist based in Portland with 11 years of experience applying simulation, machine learning, and linear programming to supply chain and logistics problems at scale, currently at Nike. He has progressed through forecasting, operations analytics, and advanced supply chain roles, pairing model development with devops and agile delivery to drive measurable business impact. Comfortable across end-to-end pipelines, he’s improved forecasting accuracy, built NLP-enabled search tools, and translated analytics into C-suite decision support. Known for data storytelling and bringing stakeholders along the process, he blends hands-on software development with practical optimization techniques. Outside work he’s an avid rock climber and DIYer, traits that mirror his iterative, hands-on approach to solving tough operational problems.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Arts (B.A.) Economics, Bachelor of Arts (B.A.) Economics at University of California, Berkeley
Data Science Career Program Python Machine Learning Visualization, Data Science Career Program Python Machine Learning Visualization at Springboard
Chinese, Spanish, English