Summary
Xudong Zhang is a Fixed Income & Commodities Support Engineer with eight years’ experience applying data science and engineering to energy and commodity markets across APAC and global trading firms. He has led data-driven products—from geo-spatial vessel and cargo tracking to LNG and power analytics—building ETL pipelines, REST APIs, and analytics stacks using Python, R, SQL, Spark and AWS. His background spans Bloomberg, Louis Dreyfus Company and commodity-focused boutiques, combining domain expertise in freight/flows and market data with hands-on MLOps and cloud deployment. A USC-trained analytics master and AWS Certified Solutions Architect associate currently based in Singapore, he is also a CFA Level II candidate, reflecting a strong bridge between quantitative finance and production engineering. Not obviously, his undergraduate training in bio-statistics gives him a distinctive statistical perspective when modeling noisy market and geospatial signals.
8 years of coding experience
Master's degree Management Business Analytics, Master's degree Management Business Analytics at University of Southern California
Bachelor's degree Animal Bio-technology Bio-statistics, Bachelor's degree Animal Bio-technology Bio-statistics at Shanghai Jiao Tong University