Breast Cancer Outcome Prediction
Machine learning project using clinical data to support outcome prediction and improve reliability despite incomplete datasets.
Healthcare data, AI, digital platforms, and applied problem solving.
I design and build data-driven solutions and digital tools with a focus on healthcare systems and real-world use cases. My work combines biomedical understanding, analytics, and software development.
I am a biomedical engineer with experience in machine learning, healthcare data analysis, and web development. I build projects that turn complex data into useful systems, from predictive models to digital tools for operational use.
I am especially interested in digital health, structured medical data, predictive systems, and computational modeling applied to healthcare.
My background combines analytics, biomedical engineering, and practical software building for prototypes, simulations, dashboards, and web applications.
These projects reflect the direction of my work: healthcare data, digital systems, and applied engineering.
Machine learning project using clinical data to support outcome prediction and improve reliability despite incomplete datasets.
Booking and operations platform designed to help small businesses manage services, customers, and data more efficiently.
Computational modeling project exploring tumor-immune interactions through simulation and systems thinking.
I keep building and testing ideas across healthcare, learning tools, and digital systems.
Open to discussions, collaborations, and opportunities in healthcare, data, digital solutions, and applied innovation.
Email: elbachailias5@gmail.com
Phone: +212 670 64 89 49
LinkedIn: linkedin.com/in/ilias-el-bacha-b98b5027b
GitHub: github.com/Iliasbacha