Data Science / Computer Science student
@ University of Toronto
I’m a second-year Data Science and Computer Science student at the University of Toronto. My interests include data analysis, statistical modeling, software design, and computer vision. I’m passionate about building projects at the intersection of mathematics, statistics, programming, and AI.
Bachelor of Science in Computer Science
Relevant Courses
Java
Python
C
HTML
CSS
LaTeX
Matplotlib
Pandas
Scikit-learn
Git
NumPy
Linux
Collaborated with a peer to analyze NHANES 2021–2023 data, investigating how demographic and dietary factors relate to dietary supplement use. Built and evaluated multiple classification models (e.g., logistic regression, random forest), comparing their predictive performance and analyzing differences in feature importance across interpretable and ensemble methods.
Built a full-stack Java application to extract and organize math exam questions from PDFs into a structured, searchable database. Implemented an automated processing pipeline using Spring Boot and OpenAI APIs to parse text, detect question structure, and store results with metadata and confidence scores. Designed the system to support scalable document ingestion, review workflows, and category-based retrieval.
Collaborated in a team of 6 to design and build a Java Swing-based task management platform using Clean Architecture principles. Core features including group creation, role-based permissions, task assignment, and progress tracking. Structured the system into entities, use cases, and interface layers to improve modularity, testability, and maintainability.
Collaborated in a group of 4 to analyze a real-world dataset of 10,000+ participants, exploring relationships between social and psychological factors. Visualized key trends and presented insights through data-driven storytelling.