Electronic Engineer | MSc. Data Science | MSc. Artificial Intelligence (in progress)
Rise and rise again until lambs become lions
- Languages: Python, SQL, C#, JavaScript
- Data Science: Machine Learning, Deep Learning, Statistics, Data Visualization
- Tools & Frameworks: Jupyter Notebook, Pandas, Scikit-learn, TensorFlow, FastAPI, Docker
- Other Areas: Image Processing, Data Analytics, Automation
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Object Localization and Identification Project
Object identification and bounding boxes using machine learning. -
Titanic Predictor API
Titanic survival prediction API with FastAPI and Docker. ML model, Swagger UI documentation, and ready for deployment. -
Analytics Fundamentals I
Medical data analysis project focused on Polycystic Ovary Syndrome (PCOS).
Note: Explore more of my projects. You can see them all at github.com/alfa7g7?tab=repositories
- Advanced Deep Learning Architectures (e.g., Transformers, GANs)
- MLOps practices for robust model deployment and monitoring
- Reinforcement Learning applications
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