2024—2026
University of Pennsylvania
MSE, Data Science · GPA 3.80/4.00Graduate study in modern machine learning, scalable systems, and applied statistics.
Open to data science & ML opportunities
I turn messy data into clear decisions.
I’m Mengyue, a data scientist at Penn working across machine learning, analytics, and data products—especially where rigorous modeling meets a genuinely useful interface.
Off the clock: usually outside, occasionally upright.
Currently exploring
Reliable ML systems
from signal to story
Python ✦ Pandas ✦ scikit-learn ✦ PyTorch ✦ SQL ✦ R ✦ XGBoost ✦ LightGBM ✦ Random Forest ✦ Regression ✦ Neural Networks ✦ SVM ✦ Gaussian Mixture Models ✦ Clustering ✦ PCA ✦ t-SNE ✦ Time Series ✦ A/B Testing ✦ Causal Inference ✦ Data Wrangling ✦ Database Management ✦ Visualization ✦ Python ✦ Pandas ✦ scikit-learn ✦ PyTorch ✦ SQL ✦ R ✦ XGBoost ✦ LightGBM ✦ Random Forest ✦ Regression ✦ Neural Networks ✦ SVM ✦ Gaussian Mixture Models ✦ Clustering ✦ PCA ✦ t-SNE ✦ Time Series ✦ A/B Testing ✦ Causal Inference ✦ Data Wrangling ✦ Database Management ✦ Visualization ✦
01 / Selected work
Projects with a point of view.
My research in wearable and EEG signals shaped how I approach applied ML: start with data quality, validate carefully, and translate results for people.
IHGcancellation prediction
01 · Predictive modeling
IHG hotel cancellation analysis
Led an end-to-end workflow from exploration to model deployment, engineering temporal and behavioral features and benchmarking an ANN against XGBoost and Logistic Regression.
- Python
- ANN
- XGBoost
- Logistic Regression
Analytics02 · Interactive analytics
Students’ alcohol consumption
Explored how family background, academic performance, and health factors relate to weekend alcohol consumption using interactive Altair dashboards.
- Python
- Altair
- Vega-Lite
- EDA
Full-stack analytics03 · Data product
ReviewLens: Amazon product discovery
Led the end-to-end implementation of a full-stack platform over 13M+ review records, owning the React interface and PostgreSQL query optimization for interactive product and reviewer analytics.
- React
- PostgreSQL
- Express
- SQL Optimization
2024peer-reviewed publication
04 · Publication
Tai Chi expertise classification
Co-authored research on the classification of Tai Chi expertise, published in Sensors, volume 24, issue 15.
- Classification
- Biomechanics
- Health analytics
02 / Experience
Where I’ve learned & built.
Apr 2023—Aug 2024
Mobility & Fall Prevention Research Laboratory
Data Science Researcher · Champaign, ILBuilt a reproducible Python/MNE EEG connectivity pipeline and wearable-signal feature framework, improving research turnaround by 5× and reaching ~90% classification accuracy.
Jun—Jul 2023
Feisuan Software Technology
Data Scientist Intern · Shenzhen, CNBuilt gradient-boosted models for personal-loan risk and tracked precision, recall, AUC (0.84), Gini coefficient, and false approval rate against underwriting thresholds.
Sep 2022—Feb 2023
Center for Health Informatics Mobilizing Experts in Illinois
Data Science Researcher · Champaign, ILUsed analytical SQL and Census-linked ICD-10 data to study mortality disparities across 10+ years and 15 geographic segments.
2020—2024
University of Illinois Urbana-Champaign
BS, Information Sciences + Data Science · GPA 3.90/4.00Dean’s List; course assistant for Data Science Exploration and vice president of the Data Science Club.
03 / About
I like figuring out why things happen—
and what to do next.
I work across the full data-science lifecycle: wrangling complex data, engineering meaningful features, building and evaluating models, and translating results into decisions. My experience spans physiological signals, health outcomes, financial risk, and customer behavior.
Toolkit
PythonPandasscikit-learnPyTorchSQLRXGBoostLightGBMRandom ForestSVMClusteringPCAt-SNETime SeriesA/B TestingCausal InferenceData WranglingDatabase ManagementVisualization
04 / Off the clock
Notes on things I like.
Not everything has to be a model. Sometimes it’s music, games, and the personality hiding between the playlists.
Gaming · Steam
My Steam Favorites (Ranked by Playtime)
Elden Ring took my soul, Death Stranding took my emotions, and the rest took my sleep schedule.
Jan 2025 · Read note ↗Music · Spotify
My 2025 Spotify Favorites 🎧
My 2025 playlist is basically K-pop nostalgia + rap chaos + diva energy
Jan 2025 · Read note ↗Currently looking for what’s next