Reinforcement Learning
Frozen Lake Simulation
Reinforcement learning agents (DQN, DRQN, QR-DRQN, RND-DRQN) for a partially observable, windy grid world, with a full research paper.
- Python
- PyTorch
- Gymnasium
Sophia (Xiyuan) Shen
A data scientist and builder, working across ML, full-stack, and analytics.
Data Science & Health Policy @ UNC–Chapel Hill
“Data is everywhere, but the glamorous part is the smallest part. You spend something like 95% of your time cleaning data and maybe 5% actually modeling it. I've also stopped believing good data science means hitting 90%+ accuracy. It means serving the people the data came from, and that starts with picking the right metric to measure.”
01 — Projects
Selected work
Deep Learning
Chinese Digit Classifier
A neural network built from scratch (no ML libraries) with a draw-to-predict web app.
- Python
- NumPy
- FastAPI
- React
- TypeScript
Policy Analytics
Federal Budget Analysis
Predicting federal grant cuts across the UNC system with ML.
- Python
- Scikit-learn
- Seaborn
- Pandas
Health Analytics
Predicting Diabetes Risk
Modeling the top drivers of diabetes from CDC survey data.
- Python
- Scikit-learn
- Pandas
- Matplotlib
02 — Experience
Where I've worked
Feb 2026 – Present
Computational Neuroimaging Research Engineer
UNC Department of Neurology: Boerwinkle Lab
Built a Python pipeline to classify resting-state fMRI components into brain networks, seizure-onset zones, and noise for pediatric epilepsy research.
May 2025 – May 2026
Predictive Analytics Researcher
UNC School of Data Science & Society
Developed a LASSO-based risk screener from 650+ survey records; contributed to a CDC-funded study and was selected to present at NACCHO360 2026.
Jan – Sept 2025
Data Visualization & Analytics Intern
UNC Water Institute
Built an interactive Tableau dashboard synthesizing 4,000+ studies on environmental health services for policymakers.
03 — Skills
Tools I build with
Languages
- Python
- SQL
- R
- HTML
- CSS
- Java
Libraries & ML
- NumPy
- Pandas
- Scikit-Learn
- TensorFlow
- PyTorch
- Matplotlib
- Seaborn
ML & AI
- Regression
- Classification
- Clustering
- Gradient Boosting
- Neural Networks
- Reinforcement Learning
Frameworks & Tools
- React
- FastAPI
- Tableau
- Stata
- Excel
- GitHub
- VSCode
- Jupyter Notebook
- Git
- Docker
- Claude Code
- Notion