I’m a passionate Computer Science Co-op student at Toronto Metropolitan University with a strong interest in technology and innovation. I have hands-on experience with Python, Java, and front-end web development technologies. I am eager to expand my skills in data science and artificial intelligence, inspired by the rapid evolution of these technologies. Currently, I am part of a team working on a fitness app using Flutter, Dart, and the Apple HealthKit framework. Outside of programming, I enjoy painting landscapes and skateboarding.
Skills
Experience
Education
Languages
Technologies
Toronto Metropolitan University (2023 - 2028)
Computer Science Co-op
SATEC @ W.A. Porter (2019 - 2023)
Specialized MST Program
I led a team to build a website that helps people find out how eco-friendly different kitchen appliances are. We used a combination of web tools like Selenium and BeautifulSoup to gather and display information about these products. The site makes it easy for users to see which appliances are better for the environment and encourages more sustainable choices.
Python
HTML
CSS
JavaScript
Git
I created an application using Streamlit that can predict a stock's closed prices over a specified period of time. I use an open-source machine learning model called Prophet that reads and analyzes stock data to produce its predictions.
Python
Streamlit
Git
I developed a Movie Recommendation System that provides users with personalized movie suggestions. The system takes an input movie title and processes it to remove any unnecessary characters, allowing for accurate searching within the dataset. It identifies users who enjoyed the inputted movie and recommends other films that those users also liked, generating popular movie suggestions among that group.
Jupyter Notebook
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