Jiyi Zeng is a data analyst with nine years of hands-on experience turning complex business problems into actionable insights across FMCG, retail, e-commerce and digital marketing. With a strong academic foundation in business analytics and economics from Washington University and Sun Yat-Sen University, she combines rigorous statistical thinking with advanced Python, SQL, Tableau and machine learning skills to deliver predictive models, A/B testing and text-mining solutions. At ByteDance and prior roles she built production-ready dashboards and boosted client outcomes—such as a 40% sales lift and a 10% model accuracy gain—by translating analytics into clear marketing and budgeting strategies. She also contributes to front-end open-source projects on GitHub, enhancing Vue and React UI components, which gives her a pragmatic appreciation for product UX when shaping data products. Known for leading cross-border teams and simplifying complex workflows, she thrives on communicating insights that drive rapid, measurable business impact.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Finance, 3.9 (Rank 7/175), Bachelor's degree, Finance, 3.9 (Rank 7/175) at Sun Yat-Sen University
Master's degree, Business Analytics, 3.85, Master's degree, Business Analytics, 3.85 at Washington University in St. Louis
Contributions:34 commits, 1 PR, 41 pushes in 4 months
Contributions summary:Jiyi primarily contributed to the front-end development of the Vue.js-based music web application. The commits showcase the implementation of UI components, including a slider, navigation links, and search functionality. Furthermore, they focused on refining the visual elements of the application, improving the overall user interface, and addressing potential display bugs.
Contributions:48 commits, 2 PRs, 49 pushes in 1 year
Contributions summary:Jiyi primarily contributed to the front-end development of the "oho-reader" repository. Their work included setting up the project scaffolding, implementing UI components such as dropdown menus and search icons, and configuring routes. They also addressed issues like search performance and image loading errors while introducing features like reading setting modifications and the display of the reading list.
apireactreact-apibookreaderebook
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