Summary
Shiyu Tong is a data scientist with eight years of hands-on experience applying machine learning and analytics across internet companies and startups, backed by a first-class Master’s in Data Science from the University of Auckland. He has built end-to-end ML solutions and production data pipelines—from designing experiments and AB tests to deploying models and web APIs on AWS—helping companies scale their market strategies across countries. His background in Java backend development and Oracle stored procedures gives him a rare full-stack perspective for data projects, allowing him to bridge model development with robust deployment and ETL engineering. Comfortable with Python, R, SQL, PowerBI and cloud tooling, he has repeatedly moved teams from zero-model states to full-scenario production systems. Colleagues will find him pragmatic and delivery-focused, with a track record of turning customer feedback and unstructured comment data into actionable insights and competitive local market models.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Engineering - BE, Computer Science, Bachelor of Engineering - BE, Computer Science at Southwest University
Master's degree, Data Science, Master's degree, Data Science at University of Auckland