Hi, I'm Andrew
Abou
t Me
About Me
I'm Andrew Lee, a computer science student interested in full-stack dev, machine learning, big data, and GIS. I enjoy thinking at an application architecture level and experimenting with ways to seamlessly integrate modern technologies.
My Curr
ent Work
My Current Work
Currently, I'm researching Lunar ice detection on the south pole using ML. Additionally, I'm interning at T-Mobile on the High Speed Internet team, doing full stack development with Java, React.js, and TypeScript.
Projects
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Resume Builder - Manage Your Resume
Music Recommender - Using Machine Learning
We researched and developed a song recommendation app using Python and Tensorflow's machine learning library. This app was trained on millions of playlists made publicly available by Spotify. Users that enter their own Spotify playlists will recieve new song recommendations based on their playlists.
Python |
Flask |
TensorFlow |
Keras |
React.js |
JavaScript
WilderTrace - Animal Migration Map
Animals face great consequences due to the exponential growth of urbanization and the drastic effects of climate change. As a result, WilderTrace aims to bring awareness to the changes in animal migration paths all over the world.
React.js |
Express.js |
JavaScript |
MongoDB |
react-map-gl
Fannie Mae Challenge - Bitcamp2023 Hackathon
Winner of Fannie Mae's "Don't Put All Your Eggs in One Basket" challenge. We implemented a knapsack algorithm to generate optimal pools of mortgages from millions of real-world mortgages. To acheive an efficient algorithm, we preprocessed the data and refined our approach countless times.
Python |
NumPy |
Pandas |
Knapsack Algorithm
Newton Pavements - City Road Conditions
A website that displays future road work sites in the city. Residents may also search for streets in Newton to get a sense of their current condition.
JavaScript |
Google Maps API |
HTML/CSS |
Bootstrap
Schoology Tweaker - Chrome Extension
A Chrome Extension that provides quality of life changes to Schoology's student dashboard. The extension allows students to check off assignments as they complete them, and implements a togglable dark theme.
SCSS |
JavaScript