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.


TypeScript


Python


Java


C


JavaScript


React.js


Next.js


HTML/CSS


Express.js


MongoDB


Docker


Git/GitHub

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Machine Learning
resume builder preview

Resume Builder - Manage Your Resume

Creating your resume is no easy task. Finding the perfect words to describe yourself and convey your experiences is already time-consuming enough. Now, just bring your creativity, and the Resume Builder will take care of the rest.

Next.js | 

TypeScript | 

MUI | 

MongoDB

music recommendation preview

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 preview

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 preview

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

covid-19 api preview

Covid-19 API - Global WHO Data

A REST API which provided data on the Covid-19 pandemic. The data was retrieved from WHO's detailed daily reports. Reports included information not limited to case numbers, deaths, and predominant transmission methods.

Node.js | 

JavaScript | 

MongoDB

acaply preview

Acaply - Internet Forum

Acaply is an internet forum built specifically for students. It provides a central location for students to easily conduct discussions, post club updates, and advertise fundraisers.

Node.js | 

JavaScript | 

Ejs | 

MongoDB | 

Bootstrap | 

SendGrid

newton pavements preview

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 preview

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

Built with Next.js, TypeScript & Framer Motion.

Copyright © Andrew Lee 2023