Summary
Binxiang Ni is a San Francisco–based software engineer with 10 years of experience building data-driven systems using Python, R, SQL, Spark, Hive, and orchestration tools like Airflow. He combines strong statistical training (M.S. in Statistics, UIUC, 3.93/4.0) with practical expertise in machine learning, NLP, and data visualization (Tableau, Looker, RShiny), enabling end-to-end analytic product delivery. His background in financial engineering and exchange studies in finance give him a quantitative edge for financial or high-stakes data problems. Comfortable across data stacks and web technologies (C++, HTML/CSS), he focuses on reliable pipelines and interpretable models rather than black-box solutions. Though modest on GitHub, his skill set suggests a track record of turning complex statistical ideas into production-ready analytics.
10 years of coding experience
Exchange Student, Finance, Overall GPA: 92.4/100, Exchange Student, Finance, Overall GPA: 92.4/100 at Feng Chia University
University of Illinois Urbana-Champaign
Bachelor’s Degree, Financial Engineering, Overall GPA: 88.5/100 Major GPA: 91.0/100, Bachelor’s Degree, Financial Engineering, Overall GPA: 88.5/100 Major GPA: 91.0/100 at University of Science and Technology Beijing
hokkien, Chinese, English