I study Statistics at the University of British Columbia and build projects across software engineering, machine learning, and data analysis.

My work often starts from practical questions: how to analyze market behavior, how to turn raw data into product insight, and how to build tools that people can actually use.

I enjoy connecting quantitative thinking with product execution, from Python notebooks and Streamlit apps to Java applications and web interfaces.