Data Analyst & Engineer | Healthcare & AI Enthusiast
Currently at Suez as a Data Analyst & Engineer.
In parallel, I lead independent research on brain cancer using AI and medical data.
🎓 I’m a data analyst & engineer passionate about applying data science to solve real-world health problems.
🧠 I currently work on brain tumor detection using AI — combining computer vision and medical imaging.
🌍 Based in France, I aim to bridge data engineering, analysis, and scientific research — especially in healthcare.
| 🔭 What I'm doing now | Project | Link |
|---|---|---|
| Working at SUEZ as a Data Analyst & Engineer (apprenticeship) | Internal Analytics Tools & Dashboards | — |
| Research on AI-based brain tumor recognition | Brain Tumor Recognition | 🔗 GitHub Project |
| Health Dashboard for Sanofi | Sanofi Health Analytics | 🔗 GitHub Project |
- 🧠 Medical AI, deep learning & computer vision for oncology
- 🧪 Public health data pipelines and data engineering for research reproducibility
- 📊 Advanced dashboards & storytelling in Power BI, Python , Streamlit and Looker Studio
🎯 Goal: Leverage data to drive innovation in public health, pharma R&D, and precision medicine — particularly in oncology, endocrinology and neuroscience.
- 🔬 Brain Tumor Detection — Deep Learning on MRI images using YOLOv8
- 📈 Malaria Diagnosis App — CNN-powered diagnostic assistant in Streamlit
- 💊 Mental Health Crisis Dashboard — Power BI dashboard on global mental health indicators (inspired by WHO data)
- 📍 Based in France
- 📧 Reach me on LinkedIn
- 🌐 Portfolio & projects: https://github.com/YanisZ
💼 I’m strongly interested in contributing to healthcare innovation through robust, ethical, and explainable AI.
📊 Whether it’s structuring health data, creating decision dashboards, or training predictive models — I’m ready to contribute.
