Summary
Xusen Shi is a data analyst with eight years of analytical experience and an MS in Applied Data Science from the University of Chicago, currently based in Palo Alto. He blends practical cloud cost engineering at Cloudfit—automating ingestion of AWS/Azure billing, enforcing tagging policies, and building anomaly-detecting statistical monitors—with research experience in MRI denoising and industrial defect detection using YOLOv8 on Azure. Fluent in English, Mandarin and Cantonese, he moves smoothly between stakeholder-facing reporting and hands-on model development, with solid R/Python and SQL skills. His background in actuarial science and prior work on SVM-driven credit analysis give him a strong probabilistic and risk-aware approach to modeling. Notably, he has taken research models from algorithmic change (Rician noise modeling) through planned VAE upgrades to production-grade ML endpoints integrated with factory workflows.
8 years of coding experience
1 year of employment as a software developer
Master of Science - MS, Applied Data Science, 3.95/4.00, Master of Science - MS, Applied Data Science, 3.95/4.00 at 美国芝加哥大学
Bachelor of Science - BS, Actuarial Science, GPA: 3.84, Major GPA: 3.88, Bachelor of Science - BS, Actuarial Science, GPA: 3.84, Major GPA: 3.88 at University of California, Santa Barbara