Electronic Engineer | MSc. Data Science | MSc. Artificial Intelligence (in progress)
Rise and rise again until lambs become lions
I'm an Electronic Engineer passionate about Data Science and Artificial Intelligence. Currently, I'm pursuing a second Master's degree in AI, diving deeper into emerging technologies to solve complex problems and transform data into valuable solutions.
AWS Cloud Foundations AWS Data Engineering Azure Data Fundamentals Prompt Design in Vertex AI Skill Badge de Google
- Languages: Python, SQL, C, C++, C#, JavaScript
- Data Science: Machine Learning, Deep Learning, Statistics, Data Visualization
- Tools & Frameworks: Jupyter Notebook, Pandas, Numpy, Dask, Scikit-learn, TensorFlow, Pytroch, FastAPI, Docker
- Other Areas: Image Processing, Data Analytics, Automation, ETL
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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). -
Predicting-Patient-Charges End-to-end MLOps project implementing machine learning pipeline to predict patient insurance charges. Built with PyCaret for automated ML, Flask web app, Docker containerization, Azure cloud deployment, and GitHub Actions CI/CD. Includes comprehensive testing, documentation, and live production environment.
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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