I’m passionate about leveraging machine learning and data science to create impactful, real-world solutions—especially in healthcare and scientific discovery. I’m eager to contribute to innovative, interdisciplinary projects and pursue opportunities that prepare me for a meaningful future in AI research.
- 🎓 B.S. Computer Science, B.S. Applied Mathematics & Statistics at Stony Brook University
- 📈 Interests: Data Science, Machine Learning, Bioinformatics
- 🌱 Currently Learning: Web Development, React
- 📫 Reach Me: [email protected], www.linkedin.com/in/amal-bilal
- Languages: Python, Java, SQL
- Libraries: Pandas, NumPy, TensorFlow, PyTorch, Keras, Matplotlib
| Project | Description | Tech |
|---|---|---|
| Book Review Sentiment Classifier | This project uses a feedforward neural network with TF‑IDF vectorization to classify book reviews as positive or negative based on their text content. | Python, Pandas, NumPy, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras |
| ReRelief | Built a real-time emotion detection computer vision web app that analyzes live camera input to assess user stress levels and provide wellness recommendations. | React, FastAPI, TensorFlow, and OpenCV |
- Contributions to 5+ repositories across academic work, personal projects, and competitions.
- Experience with data visualization, machine learning, and collaborative development
- LinkedIn: www.linkedin.com/in/amal-bilal
- Email: [email protected]