class BiomedEngineer:
def __init__(self):
self.name = "Mohamed Aziz Blaidi"
self.university = "INTEK β Institut National des Technologies, El Kef"
self.degree = "Biomedical Engineering (B.Eng)"
self.focus = ["Medical AI", "Data Science", "Machine Learning"]
self.languages = ["Python π", "MATLAB π", "SQL ποΈ"]
self.mission = "Bridging medicine and technology through intelligent systems"
def currently_doing(self):
return [
"π Studying biomedical signal processing & imaging",
"π€ Building ML models for clinical diagnostics",
"π Exploring health data analytics pipelines",
"π± Learning Deep Learning & Transformer architectures"
]
me = BiomedEngineer()
print(me.mission)
# β "Bridging medicine and technology through intelligent systems"| Project | Description | Stack |
|---|---|---|
| π©Έ Glucose Monitoring GUI | Desktop app for real-time blood sugar tracking with intuitive visual dashboards | Python CustomTkinter |
| π€ Diabetes Detection Model | ML classification model predicting diabetes risk from patient clinical data | Scikit-Learn Pandas |
| β€οΈ Heart Disease Predictor | Multi-feature classification system for early cardiac risk assessment | Python ML Seaborn |
| π Portfolio Website | Personal portfolio showcasing projects and skills | HTML5 CSS3 |
| π₯ | Medical Imaging Intern | Clinique Monodisciplinaire de Radiologie CERU, Bizerte |
| β‘ | IEEE INTEK Branch | Media manager β Engineering & Tech Community |
| ποΈ | Active Member | Leo Club Acropolis El Kef β Event Promotion & Communications |
π― Project Management Β π₯ Team Leadership Β β±οΈ Time Management Β π’ Effective Communication
π Attention to Detail Β π Flexibility & Adaptability Β π Proactive Mindset Β π Continuous Learning