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Hi, I'm Joyi Xue
welcome to my portfolio!

About Me

I am a first-year Computer Science student at the University of Toronto with a passion for exploring new technologies and problem solving.
My interests include data analysis, machine learning, and Blåhaj!!

Skills

Experience

Awards

Education

  • Technical Skills
    • Languages: Proficient in Python, C++, and Java; familiar with JavaScript, HTML, and CSS
    • Data Analysis: Experience with data visualization and processing with tools like pandas, NumPy, Matplotlib, and Seaborn
    • Machine Learning: Understanding of fundamental concepts and frameworks such as scikit-learn, TensorFlow, and pyTorch
    • Version Control: Proficient in Git for collaborative development
  • Soft Skills
    • Collaboration: Strong team player with experience working on diverse teams in hackathons and community projects
    • Problem-Solving: Adept at identifying and implementing solutions for real-world challenges
    • Adaptability: Quick learner with a passion for grasping new skills and technologies
    • Communication: Clear and effective verbal and written communication skills for technical and non-technical audiences
    • Time Management: Skilled in prioritizing tasks and meeting deadlines, as demonstrated by successful hackathon projects and academic commitments
  • Additional Skills
    Instruction & mentorship, experience with agile methodologies, skiing
  • Python Teaching Assistant — Explorer Robotics Club, Whitby, ON | Jul 2021 - Apr 2022
    Led group coding projects, managed club events, and tutored 12+ students in one-on-one Python lessons
  • Ski Instructor — Dagmar Ski Resort, Uxbridge, ON | Dec 2021 - Mar 2024
    Collaborated effectively with managers, program assistants, and lift operators to ensure a seamless experience for guests
    Enhanced students' skiing techniques and confidence, promoting safety and fun on the slopes
  • Relevant Courses
    • CSC110
      data representations; program control flow; mathematical logic and formal proof; representation of floating-point numbers and numerical computation; algorithms and running time analysis; software engineering principles
  • University of Toronto | 2024-2028
    Bachelor's of Computer Science
  • 2024
    • AI Award Winner - High School Big Data Challenge
    • Honour Roll - Senior Computing Contest (associated with the University of Waterloo)
    • Schulich Leader Scholarship @ Western University ($100,000)
    • Schulich Leader Scholarship @ McMaster University ($100,000)
    • President's Scholar of Excellence @ University of Toronto ($15,000)
    • Howard Ferguson Scholarship @ University of Toronto ($12,000)
    • Faculty of Mathematics Entrance Scholarship @ University of Waterloo ($10,000)
    • Earl B. MacNaughton Entrance Scholarship @ University of Guelph ($2,000)
    • Bayer Canada Scholarship ($14,000)
  • 2023
    • High School Big Data Challenge Finalist

My Projects

Coming soon...

short project description here lol

learn more

Coming soon...

short project description here lol

learn more

Coming soon...

short project description here lol

learn more

Hackathons

IntroSpectacle

An innovative facial recognition system designed to enhance social interactions. Leveraging OpenCV and MediaPipe, IntroSpectacle identifies faces and displays personalized details fostering meaningful connections. The project integrates Cohere for conversation summarization and MongoDB for efficient data storage.

Hack the North 2024

Python, OpenCV, MediaPipe, MongoDB, Cohere, WhisperAI

Carma

A green carpooling platform designed to promote sustainability. Carma connects users through optimized routes powered by Mapbox, fostering greener commutes and financial savings. Built with a robust tech stack—Node.js, Express.js, MongoDB, and more—Carma reimagines daily travel as an opportunity to reduce carbon footprints, making each journey meaningful for both individuals and the planet.

Hack the Valley 8 (2024)

JavaScript, Node.js, Express.js, MongoDB, Mapbox, Figma

zomBAE

zomBAE uses AI to analyze your level of "zombie infection." Leveraging a smart matching algorithm, zomBAE pairs you with your perfect match from the hackathon!

Apocalypse @ Shopify 2024

Jupyter Notebook, Python, PyTorch, Matplotlib, HTML, CSS

Contact Me

joyi.xue@mail.utoronto.ca

Download Resume

© 2024 Joyi Xue