Summary
Haoxi Huang is a Data Engineer with nine years of experience blending a strong mathematical foundation (MS in Business Analytics, BA in Mathematics) with hands-on expertise in Python and R to build production-ready data pipelines, recommendation systems, and NLP-driven applications. Based in New York, he has implemented real-time, factorization-based learning-to-rank recommendations on Azure and modeled repeat-buyer behavior at scale using datasets with hundreds of millions of samples. Comfortable across the full data lifecycle, Haoxi excels at web scraping, cleaning and feature engineering (BeautifulSoup, Scrapy, MongoDB), advanced NLP (NLTK, AlchemyAPI), and ML modeling (scikit-learn) while delivering visual insights via Tableau and D3. He’s taught and mentored students on practical data tools, translating research-grade recommendation methods into deployed Flask web apps and interactive dashboards. Known as a quick learner and team player, he pairs deep statistical rigor with pragmatic engineering to turn noisy real-world data into actionable products.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Mathematics and Applied Mathematics, Bachelor's degree, Mathematics and Applied Mathematics at Southeast University
Master's degree, Business Analytics, 3.72, Master's degree, Business Analytics, 3.72 at Fordham University
English, Chinese