Summary
Yiyang Song is a data-driven business analyst with nine years of industry experience, currently applying analytical rigor at Meituan and preparing to start a Master's in Business Analytics at Washington University in St. Louis. He has hands-on experience in product-facing analytics and data quality monitoring from roles at Kuaishou and Meituan, and has supported deep learning coursework as a graduate teaching assistant. Comfortable working with data warehouses and cross-functional teams, he has delivered anomaly detection insights and efficiency improvements in data extraction and analysis. Based in Beijing with a background in transportation engineering, Yiyang pairs quantitative modeling skills with practical business problem-solving. He blends academic training and industry practice to translate complex datasets into actionable product and operational recommendations. Notably, his trajectory shows a consistent focus on improving data reliability and predictability in large consumer platforms.
9 years of coding experience
1 year of employment as a software developer
Bachelor of Engineering - BE, Transportation Engineering, 3.61, Bachelor of Engineering - BE, Transportation Engineering, 3.61 at Southeast University
Master's degree, Business Analytics, Master's degree, Business Analytics at Washington University in St. Louis