Hi there!
I'm Minji, a Computer Science major with a minor in Geographical Information Science
from the University of Maryland. My professional interests lie in Software Engineering,
Backend Development, Machine Learning, and Data Science. With an innate sense of curiosity,
I'm always eager to explore new challenges in the tech realm. Beyond academics,
I have a passion for photography and appreciate the art of music, both in singing and
discovering lesser-known tracks.
Developed a face recognition system using a technique known as eigenfaces,
which leverages Principal Component Analysis (PCA) to identify distinguishing
features of faces. This project was inspired by the seminal work “Eigenfaces for Recognition”
by M. Turk and A. Pentland, pioneers in the field of computer vision.
Skills Utilized: Principal Component Analysis, Computer Vision, Python
Interview Lab is a platform designed to assist interview preparation.
Users receive tailored assistance or interviewees derived from their
resumes and cover letters. As part of a 4-member team,
I led the backend development, leveraging the ChatGPT API.
Skills Utilized: JavaScript, Node.js, Express.js, MySQL, AWS, Docker, Jenkins, and more.
Developed an indoor navigation system for the Seneca and Iribe Buildings
at the University of Maryland using provided floor plans. The system for
Seneca Building offers a user-friendly interface to search room IDs,
highlight rooms, and auto-switch floors, along with dynamic routing based
on user-selected points.
Skills Utilized: JavaScript, HTML, ArcGIS Pro
Explored correlations between the US economy and music trends by analyzing
data from Billboard's Hot 100 (2006-2022) and Spotify's genre and valence database,
culminating in comprehensive visualizations.
Skills Utilized: Python, Jupyter Notebook, Docker
Libraries: billboard.py, Numpy, Pandas, Matplotlib, Seaborn, and more
I'd love to hear from you!
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