Summary
Yiyao Zhou is a data engineer at QuantumBlack/McKinsey with eight years of experience building production analytics and machine learning solutions across e-commerce, healthcare, and finance. Trained with an MS in Financial Mathematics from Brandeis and progressing toward CFA Level II, she blends quantitative rigor with practical product impact—automating reporting, deploying NLP at scale, and forecasting operational demand. At PepsiCo and Mobile Heartbeat she translated business questions into models (KNN, GBM, Random Forest, Lasso) and engineering wins that cut reporting time from hours to minutes. Comfortable in Python, R, SQL and text-mining pipelines, she has hands-on experience turning 10M+ message corpora into actionable features and prototyping chatbot integrations. Colleagues know her as a data enthusiast who navigates both research-style time-series and supervised learning workstreams while keeping an eye on deployability and stakeholder outcomes. Based in Boston, she combines finance-rooted modeling instincts with product-minded engineering to drive measurable business value.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Financial Mathematics, GPA 3.84, Master of Science - MS, Financial Mathematics, GPA 3.84 at Brandeis International Business School
Master of Science - MS, Financial Mathematics, GPA 3.84, Master of Science - MS, Financial Mathematics, GPA 3.84 at Brandeis University
English, Chinese