I'm a general engineer, data scientist, and developer with a passion for building impactful, scalable solutions that drive real-world impact and innovation. My journey started in the aerospace industry with Safran Group, where I developed solid skills in industrialization and project management. Over time, my curiosity led me to explore data science and software development, where I now specialize in creating data-driven solutions to optimize operations and generate value in industrial settings.
| Streak | Stats | Langs |
|---|---|---|
- Industrialisation: Developed tooling, Processes, Variability mastery with 6 Sigma methodologies.
- Project Management: Coordinated projects focusing on industrialization and production efficiency (Workshop design, Activity Transfer, EngineUs development).
Led an international team for the Rafale Program at Dassault Aviation, overseeing the externalization of training and documentation products while ensuring compliance with S1000D standards. My focus was to align XML digital deliveries with military specifications, resulting in high-quality outputs through efficient, coordinated teamwork.
Driven by a deep interest in data-driven innovation, I evolved from an industrial engineering role focused on production process optimization to data science and software development to address modern industry challenges. This dual expertise allows me to create solutions that merge operational rigor with analytical power. By applying data science to industrial contexts, I develop models and tools that enhance decision-making, reduce inefficiencies, and generate measurable value.
- Data Science & Machine Learning: Scikit-learn, XGBoost, LightGBM, TensorFlow, Keras
- Big Data & Data Engineering: Apache Spark, Kafka, Apache Nifi, ElasticSearch, Kibana
- MLOps & DevOps: MLflow, GitHub Actions CI/CD, Docker, Poetry
- Amazon Web Services (AWS): ECR, ECS, Secrets
- Google Cloud Platform (GCP): Data Warehouse, BigQuery, ML services, Looker Studio
- Microsoft Azure: DataLake, Data Warehouse, Virtual Machines, Pipelines, Power BI
- Data Science & Machine Learning: Building and deploying models to drive actionable insights.
- Artificial Intelligence & Deep Learning: Implementing neural networks and advanced AI architectures.
- Software Development & Cloud Computing: Development with a focus on cloud deployment for scalability.
- MLOps (Machine Learning Operations): End-to-end machine learning pipelines and CI/CD for robust model lifecycle management.
- Data Engineering & Big Data: Creation of optimized data flows and infrastructure using big data tools and cloud solutions.
As a lifelong learner, I'm exploring the impact of blockchain on decentralization and secure data transfer, and quantum computing for faster, more accurate predictive models in complex systems.
Thank's for visiting my profile, feel free also to watch my projects. I'm always excited to connect with others who are passionate about tech and innovation. Whether you're interested in collaboration, exploring new ideas, or just sharing insights—let’s connect!
Fun Fact: I'm a huge fan of Formula 1 and aerospace in general. I love the thrill of speed and the precision of engineering that goes into creating these incredible machines.