I'm a Data Science Master's student at Harvard SEAS, passionate about building real-world ML applications with clean engineering and measurable impact.
- 🔭 Currently building: an MLOps-enabled crane detection app using YOLOv5 + SAHI
- 💻 Learning: cloud MLOps (AWS, Docker, CI/CD), Modern NLP with Transformers
- 📈 Interests: ML modeling, NLP, applied stats, deployment pipelines
- 📫 Reach me: LinkedIn | Portfolio
- 🧠 Fun fact: I play the guitar 🎸
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🕊️ Sandhill Crane Detector
Object detection pipeline using YOLOv5 + SAHI to identify and count Sandhill Cranes in aerial thermal imagery.
Deployed with Streamlit and Docker, integrating MLOps best practices. -
🌍 World Happiness Visualizations
Interactive dashboards and regression analysis on global well-being metrics (2015–2022) using Tableau, Plotly, and Python.
Includes a case study on South Korea’s suicide rate. -
🔥 Spatiotemporal Analysis of Wildfire Response
Trained on Google Trends data and spatiotemporal features from 12 U.S. DMA regions. -
🚀 Hypersonic STLE Prediction
Supervised and deep learning models to predict shock-induced transition locations in hypersonic vehicles.
Used sparse pressure sensor data and engineered time-series features to improve R² from 0.79 to 0.89.
Thanks for visiting 🙌