Ziyang Zhou · UBC Statistics · Project Portfolio
I am a UBC Statistics student. This site brings together my self-written coursework, competition research, and AI-assisted projects, with the choices, experiments, and results I can explain in detail.
Ziyang Zhou
UBC Statistics student working on applied ML, data analysis, and AI-assisted tools
A portfolio of self-written coursework, competition research, personal projects, and AI-assisted tools across machine learning, data analysis, NLP, computer vision, and software development.
I study Statistics at the University of British Columbia and use this site to keep a clear record of the projects I can discuss in interviews.
My strongest foundation comes from hands-on ML coursework and data analysis: cleaning data, building features, choosing validation splits, comparing baselines, checking model behavior, and explaining limitations.
Education
University of British Columbia
Sep 2023 - Jun 2027
Work
Guotai Haitong Securities IPO Project Team
Jul 2025 - Aug 2025
An active Kaggle computer-vision project studying how to reduce a poisoned RetinaNet detector's unwanted behavior while preserving useful detections.
An active competition project for ranking CSI 300 candidates and assigning a five-stock portfolio with point-in-time features and walk-forward validation.
A Python MVP for learning how coding agents work, with a CLI, tool-calling loop, workspace file tools, shell/test execution, git diff output, and safety checks.
An AI-assisted Tencent AI-HR demo that turns newcomer profiles into 30-60-90 day growth paths, mentor feedback, HR views, and a review-friendly walkthrough.
View or download the bilingual English and Chinese resume.
I am open to internship, research, and early-career opportunities related to data, machine learning, AI tools, and software projects. Email is the best way to reach me.