Summary
Xuran Li is a senior data analyst based in Beijing with eight years of experience applying machine learning and quantitative research to recommendation systems and user behavior analytics. Currently at Tencent News, he leverages prior research roles at Alibaba and quantitative experience at IDG Capital to translate large-scale log data into measurable product and algorithm improvements. His hands-on background includes implementing recommendation algorithms (Personal Rank, PageRank), logistic regression, LDA, and NLP optimizations in C++, Python and Go for systems handling millions of daily videos. Notably, his earlier work boosted recommendation performance by roughly 50% through algorithmic tuning and NER enhancements, and he has built data monitoring and MySQL infrastructure for high-throughput platforms. Trained in electrical engineering at Columbia and UW–Madison, he blends rigorous academic foundations with production-driven experimentation. He brings a pragmatic mix of research instincts and product-focus, often surfacing insights from noisy behavioral logs to guide strategy.
8 years of coding experience
4 years of employment as a software developer
Bachelor's degree, Electrical Engineering, Bachelor's degree, Electrical Engineering at University of Wisconsin-Madison
Master's Degree, Electrical Engineering, Master's Degree, Electrical Engineering at Columbia University in the City of New York
English, Chinese, Latin