Turning data into impactful insights — one model at a time.
- 🎓 B.Sc. in ICT Engineering – University of Tartus (Graduated: September 2024)
- 🌍 Based in Muscat, Oman
- 🧠 Passionate and detail-oriented data scientist skilled in ML pipelines, deep learning, and data analytics. I enjoy building practical models that solve real-world problems.
- Languages: Python, SQL
- Libraries: NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn
- Deep Learning: TensorFlow, Keras, PyTorch
- Tools: Jupyter, Google Colab, Git, GitHub
- Deployment: Flask, FastAPI, Docker, Streamlit
- Cloud: AWS (basic)
| Project | Description | Tech Stack |
|---|---|---|
| 🔹 Google Stock Prediction | Stock forecasting using ML models with visual analytics. | Python, Scikit-learn, Pandas |
| 🔹 Breast Cancer Prediction | Manual KNN vs sklearn KNN on diagnosis data. | Python, NumPy, Scikit-learn |
| 🔹 KMeans Titanic Clustering | Unsupervised learning with PCA & survival analysis. | Pandas, Seaborn, Scikit-learn |
| 🔹 Personal Portfolio Website | Responsive AI & Cloud portfolio website using Flask, deployed on Azure. | HTML, CSS, JavaScript, Flask, Azure |
- 🚀 Building a cloud-based portfolio website with Flask & Azure (now live!)
- ☁️ Learning advanced Azure services: App Services, Blob Storage, and CI/CD via GitHub Actions
- 🔄 Dockerizing ML apps for faster and reproducible deployment
- 📊 Developing a real-time analytics dashboard using Streamlit + Azure Functions
- 🧠 Experimenting with HuggingFace Transformers for NLP classification tasks
- 📘 Preparing for Microsoft Azure Fundamentals (AZ-900) certification
- 🧠 ML & Deep Learning – Advanced
- 🔰 Python & Data Analysis – Foundation
- 📊 Kaggle: @mohammedasaad7
"Discipline is the silent force that builds your dreams brick by brick. Stay consistent, stay focused — and the impossible will soon be your reality."