Zhendong Zhou is an MS in Statistics candidate at UW–Madison (graduating May) with six years of hands-on software and data experience spanning internships at Ping An Technology and Bank of China. He focuses on data mining, machine learning, and deep learning, pairing strong algorithmic skills with practical coding instincts for production-ready solutions. As a backend contributor to the Rust ServerStatus project, he implemented feature enhancements and reliability fixes—demonstrating an ability to translate systems-level requirements into robust code. Comfortable with SQL, R, and backend development, he prefers pragmatic, keep-it-simple solutions (K.I.S.S.) and seeks roles that bridge applied analytics and engineering.
6 years of coding experience
Master of Science - MS, Statistics, 3.6, Master of Science - MS, Statistics, 3.6 at University of Wisconsin-Madison
Bachelor's degree, Mathematics, 4.1/5.0, Bachelor's degree, Mathematics, 4.1/5.0 at Shandong University
Contributions:171 commits, 19 PRs, 78 pushes in 10 months
Contributions summary:Zhendong primarily focused on improving the server status application by implementing features and addressing code quality. They made several commits that added user-specific data fields to the data model, improved the data sorting, and fixed content type issues. Additionally, the user added support for vnstat by integrating a new function to gather network statistics, alongside implementing a fix to reconnect to the server. These changes demonstrate a focus on feature enhancements and bug fixes.
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