Enze Lin is a Tokyo-based data scientist with 10 years of experience blending full-stack engineering instincts and applied statistics to solve business and actuarial problems. Now at Reinsurance Group of America, he progressed from intern to data scientist, applying forensic analytics and production-ready models in risk and insurance contexts. Trained with an MSc in Applied Statistics from Shanghai University of Finance and Economics and a BBA in Accounting, he pairs rigorous quantitative methods with practical financial domain knowledge. An active developer in his spare time, he maintains open-source projects like a clean, ad-free music web player where he handled both backend API replacement and front-end UX polish. Colleagues describe him as a mechanic-engineer hybrid: comfortable tuning low-level code and shipping user-facing features while keeping a strong focus on data quality and auditability. This combination of hands-on engineering, statistical rigor, and domain experience makes him effective at turning complex data into reliable, production solutions.
10 years of coding experience
4 years of employment as a software developer
BBA, Accounting, BBA, Accounting at 汕头大学
MSc, Applied Statistics, MSc, Applied Statistics at 上海财经大学
Contributions:97 commits, 28 PRs, 102 pushes in 4 years 6 months
Contributions summary:Enze updated the project's metadata and user interface elements, including the `README` files, and HTML files. They replaced a Netease API, indicating backend work. They added a loading animation to the player bar and modified the player's style.
Contributions:89 commits, 80 pushes, 1 branch in 1 year 11 months
reacttypescriptlite
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