Summary
Yongquan Xie is a data scientist with nine years of experience applying statistical modeling, machine learning, and MLOps to solve problems across public health, e-commerce, and telecom. He has a strong computational toolkit (Python, R, SQL, Tableau) and a track record of turning large, messy datasets into actionable products—from ETL pipelines and interactive dashboards at IHME to fraud and NLP-driven detection systems for Meta. At Control Risks he translated research-grade methods into production policies to combat retail crime and counterfeit sellers, and he now applies that applied-ML focus to data challenges at T-Mobile. Trained in materials science with hands-on ML for materials discovery, he brings a rare blend of rigorous experimental research and production-focused analytics. Known as a quick learner and collaborative team player, he pairs methodological rigor with pragmatic delivery to drive measurable impact.
9 years of coding experience
7 years of employment as a software developer
Master of Science - MS Material Science & Engineering, Master of Science - MS Material Science & Engineering at University of Washington
Bachelor of Science - BS Material Science & Engineering, Bachelor of Science - BS Material Science & Engineering at Iowa State University