
Data Science Intern @ Meta
Incoming Summer 2025!
University of Pennsylvania, Class of 2026
BASc in Comp. Sci. | BS in Economics
Current status:
Studying computer science and business
at the University of Pennsylvania
I am a junior at Penn pursuing a dual degree between Penn Engineering
and The Wharton School. Previously, I've worked as a software engineer intern at
Principal Financial Group, data science intern at the CDC,
undergraduate researcher at Penn Medicine, web developer for the
Korean Language Department at Penn, and teaching assistant at Penn Engineering (ENM 3750)
and
Wharton (STAT 4300).
I recently signed my offer to join Meta as a Data Science intern for Summer 2025!
Here's what I've done professionaly so far!
Incoming Summer 2025!
I worked on a client dashboard for individuals to enroll in a robo-investment service
based on their risk aversion. On the frontend, I worked with Next.js in TypeScript React
to improve web accessibility. For the backend, I implemented API calls in Java that
interact with a NoSQL database — all within Spring Boot microservices.
During the company's intern hackathon, I assumed the role of technical lead for my team. We built
a React web app that automates business task assignments, using AWS (Lambda, API Gateway, S3) and Llama 3 endpoints.
I created programs in R that analyze which characteristics of labs or chemical analytes affect lab performance in the mandatory inspection tests conducted by the CDC. Here, I was able to learn and hone my skills in data engineering, statistical analysis, and data visualization.
I designed web-books in HTML/CSS for the Korean Language Department's text book series
("You Speak Korean!").
I hold weekly recitations to review material with students, grade assignments, and conduct office hours to provide help with Python/R homework for statistics (STAT 4300) and biological data science (ENM 3750) classes.
I learned about machine learning using Python libraries like Tensorflow, and Seaborn. With this knowledge, I tested existing machine learning models and consolidated electronic/physical patient data entries.
Projects made with passion - click project names for Github repository!