Summary
Xiangyu Liu is a data scientist based in Shanghai with 12 years of experience applying analytics to product and social-impact problems under the banner "Data Science for Good." Currently at OpusClip after a multi-year tenure at Wish, Xiangyu combines production-minded modeling with a background in statistical programming from Acumen, LLC. He holds an MS in Analytics from Washington University in St. Louis and a BS in Economics from Zhejiang University, blending rigorous quantitative training with domain understanding. Known for turning noisy product signals into actionable experiments, he excels at bridging data science and product teams to drive measurable business outcomes. Comfortable in both startup and enterprise contexts, he brings pragmatic tooling and reproducible workflows to accelerate model deployment. Colleagues would note his consistent focus on ethically informed analytics and staining data into meaningful decisions.
12 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Analytics, Master of Science - MS, Analytics at Washington University in St. Louis
Bachelor of Science - BS, Economics, Bachelor of Science - BS, Economics at Zhejiang University