01.
About Me
Hi! I'm Su Yeon, a junior in the Jerome Fisher M&T Program at the University of Pennsylvania, pursuing a dual degree in Computer Science and Business Analytics at Wharton.
Previously I interned at Stripe and Clay as a software engineering intern.
Here are a few things I'm interested in:
- User experience
- Machine learning / AI
- System design & thinking
- Building products that can scale
02.
Where I've Worked
Software Engineering Intern @ Stripe
Internship
- Worked on software engineering projects at one of the world's leading payments infrastructure platforms, processing hundreds of billions in transactions annually.
Software Engineering Intern @ Clay
Internship
- Contributed to engineering at Clay, a data enrichment and go-to-market automation platform used by modern sales teams.
03.
Research & Academics
Research
CMU Language Technologies Institute
Summer Research Assistant · advised by Prof. Carolyn Penstein Rosé
Developed a model that builds a graphical representation of discussions among students in science classes by applying semantic matching techniques in NLP and learning science theories.
Penn Computational Social Science Lab
Research Assistant
Built a data pipeline to ingest social media participation and engagement data from APIs. Integrated BERT model to classify data into semantic categories.
Courses I've Enjoyed
CIS 5480Operating Systems Design and Implementation
CIS 5450Big Data Analytics
CIS 3200Algorithms
STAT 7760Applied Probability Models in Marketing
04.
Some Things I've Built
West Park Cultural Center
A data platform aggregating donation and engagement data into an executive dashboard for West Park Cultural Center.
Achieve Now
A learning management system for administrators, students, and coaches at Achieve Now, a Philadelphia-based literacy nonprofit.
Library AI Chatbot
A web app integrating GPT-4 API to provide summaries and recommendations of library resources for college students.
Accented Speech Transcription
Segmented English speech datasets composed of Mandarin, Korean, and Turkish accents into phonetic sequences and extracted audio features.
Smart Home Energy Analysis
Exploratory analysis of smart home energy consumption using feature engineering, PCA, unsupervised clustering, and ensemble regression models.
Marketing Models
Two projects: predicting credit card transactions with NBD model, and modeling Wicked movie viewership heterogeneity using Weibull distribution with covariates.
Custom OS Kernel
Implemented a custom OS kernel in C with preemptive priority-aware scheduling, user-level concurrency, and a FAT-based file system supporting persistent storage and multi-process file ops.