Kaiyuan Xu
数据分析师 at 多比特
Shanghai, Shanghai, China
Summary
👤
Senior🎓
Top SchoolKaiyuan Xu is a data analyst with eight years of experience, blending solid statistical training from Zhengzhou University and an MSc in Business Analytics from Lancaster with hands-on analytics roles in healthcare and industry. Proficient in SQL, R, Python, VBA and familiar with SPSS/Pass/Prism and MS Office, he leverages AI-assisted Python workflows to tackle complex modeling and machine learning tasks. Currently at 多比特, he has practical experience collecting and analyzing patient and app-sourced data from platforms like Good Doctor and Xiaohongshu, supporting evidence-based patient education. Known for strong logical thinking, self-directed learning and stress resilience, he is fluent in English for professional communication and skilled at turning messy real-world data into actionable insights.
8 years of coding experience
学士学位, Statistics, 学士学位, Statistics at 郑州大学Master of Science - MS, Business Analytics, Master of Science - MS, Business Analytics at 英国兰卡斯特大学
Github Skills (4)
c-library6
hash6
cpp5
rust4
Programming languages (2)
Github contributions (5)
Cytosine2020/authernet
Sep 2020 - Mar 2021
Contributions:175 commits, 2 pushes in 5 months
Cytosine2020/HDAStar
Apr 2019 - May 2019
This is an implementation of Hash Distributed A Star algorithm for homework 5 of 2019 CS110 course of ShanghaiTech University.
Contributions:30 commits, 1 PR, 5 pushes in 1 month
hasha-star-algorithma-starshanghaitechdistributed
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