Turning raw data into meaningful insights.
## 🧠 About Me
I'm passionate about Data Engineering, Data Analytics, and Artificial Intelligence.
- 🔭 Building end-to-end data pipelines and analytics solutions
- 🌱 Exploring Dataiku, Databricks, Apache Airflow and Machine Learning
- 📊 Interested in Business Intelligence and data visualization
- ⚙️ Working with Python, SQL and modern data platforms
- 🎯 Focused on building scalable, reliable and efficient data solutions
- 📍 Based in France
End-to-end currency exchange analytics pipeline.
Key Features:
- API data ingestion
- Data cleaning and transformation
- Data analytics and visualization
- Machine Learning integration
Technologies: Dataiku, Python, APIs, ML
Modern banking data pipeline built with Lakehouse architecture.
Key Features:
- Bronze, Silver and Gold data layers
- Data ingestion and transformation
- Scalable data processing
- Analytics-ready datasets
Technologies: Databricks, PySpark, Delta Lake
Automated sales data processing workflow.
Key Features:
- Workflow orchestration
- ETL pipeline automation
- Task scheduling
- Data transformation
Technologies: Apache Airflow, Python, ETL
Deep Learning project for facial expression classification.
Key Features:
- Facial expression recognition
- CNN model training
- ResNet18 architecture
- Image classification
Technologies: Python, PyTorch, CNN, ResNet18
- 🔹 Data Engineering & ETL/ELT Pipelines
- 🔹 Modern Data Lakehouse Architecture
- 🔹 Workflow Orchestration with Apache Airflow
- 🔹 Machine Learning & Artificial Intelligence
- 🔹 Data Visualization & Business Intelligence
- 🔹 Scalable Data Processing