Summary
Mengyue Zhao is a Senior Data Scientist with seven years of experience building and scaling machine learning and optimization solutions for retail and CPG. At Target she develops automated demand-forecasting pipelines using Spark, Scala, Hive and Python, migrates models to new data infrastructures, and designs A/B testing frameworks to measure impact across online and offline channels. Previously she led pricing analytics at NielsenIQ, managing multi-team deliveries, production model deployment, and pricing process automation. Her background blends rigorous academic training in economics and economic history (McGill, Oxford) with applied ML and DevOps practices from industry, and she has a knack for turning messy, large-scale sales data into actionable assortment and pricing strategies. Notably, she pairs domain-driven experimentation with production-ready pipelines, enabling measurable business outcomes at enterprise scale.
7 years of coding experience
2 years of employment as a software developer
International Baccalaureate, 43/45, International Baccalaureate, 43/45 at Shanghai World Foreign Language Middle School
MSc in Economic and Social History, MSc in Economic and Social History at University of Oxford
Master's degree, Management Analytics, Master's degree, Management Analytics at University of Toronto - Rotman School of Management
Undergraduate, Economics, 3.9/4 (CGPA), 3.95/4 (Economics), Undergraduate, Economics, 3.9/4 (CGPA), 3.95/4 (Economics) at McGill University
French, English, Chinese