Hi there! 👋 I'm Xin Wang, a data science enthusiast who loves finding hidden stories in numbers and building machine learning solutions that make a difference.
- 🎓 MS in Data Science @ Northeastern University, GPA: 4.0/4.0
- 🧮 Statistics Lover from Nanjing University, where I first fell in love with data.
- 🔍 I enjoy solving real-world problems by turning messy data into meaningful insights.
- 🎯 I focus on:
- 📊 Data Analytics: Extracting insights and visualizing stories.
- 🧠 Machine Learning: Designing classification and clustering models.
- 🖼️ Computer Vision: Identifying patterns in images (e.g., wafer defect detection).
🌟 “Every data point has a story to tell, and I'm here to decode it.”
| 🚀 Project | 🛠️ Tech Stack | 📝 Description |
|---|---|---|
| 🧠 Wafer Defect Detection (Industry-level Project) | DINOv2, LightGBM, Symbolic Features | Improved accuracy from 95% to 97% by integrating symbolic features for defect classification. |
| ✍️ AI-Human Text Classifier | GPT-2, OpenAI Embeddings, XGBoost | Built a text classifier achieving 97% accuracy to distinguish AI-generated vs. human-written texts. |
| 📷 Image Classification (LeNet5) | Keras, CIFAR-10, CosFace Loss | Boosted model accuracy by 3% and reduced training time by 4%. |
| 🎨 StyleGAN Face Generation | GANs, CelebA, Python | Trained StyleGAN to generate realistic face images while debugging and enhancing open-source code. |
| 💻 Programming | Python, R, SQL, C++ |
|---|---|
| 🛠️ ML/AI Tools | TensorFlow, PyTorch, Scikit-learn, OpenCV |
| 📊 Data Skills | Pandas, Numpy, Matplotlib, LightGBM, Azure ML |
| 🌐 Systems | Windows, Linux, MacOS |
🌟 “Data is the bridge between curiosity and solutions.”
Let’s build something impactful together! 🚀