- 🔭 Currently Data Engineer at Veolia Benelux
- 🎓 Former Biomedical Scientist with 5 years of Cancer Research expertise in Immunology and Data Analysis
- 🌱 Completed intensive Data Science & ML Engineering training @ BeCode
- 💡 Passionate about transforming complex data into actionable insights
Engineered an end-to-end machine learning solution for real estate price prediction, combining XGBoost modeling with a Streamlit interface. Achieved 92% prediction accuracy and implemented SHAP for model interpretability.
Engineered and deployed a large-scale data quality detection system using PySpark, analyzing millions of records to identify anomalies and errors. Implemented automated validation processes to ensure data integrity across the telecommunications database.
Built an advanced NLP system analyzing media articles using BERT models for topic modeling and sentiment analysis. Features include named entity recognition, temporal trend analysis, and interactive visualizations for content insights.
Developed a comprehensive market analysis system using SQL and Tableau, delivering actionable insights for sales optimization and market opportunity identification.
- Languages & Frameworks: Python, SQL, PySpark
- ML & Data Science: scikit-learn, XGBoost, BERT, Pandas, NumPy
- Visualization: Tableau, Power BI, Plotly, Seaborn
- Tools & Platforms: Git, FastAPI, Streamlit, Docker
- Cloud & Big Data: AWS, Hadoop Ecosystem
🛠️ Python | 📊 Numpy | 📈 Pandas | 📉 Matplotlib | 🎨 Seaborn | 📊 Plotly | 🗂️ Git | 🗄️ SQL | 📊 Tableau | 📊 Power BI | 🕷️ BeautifulSoup | 🧠 scikit-learn | 🚀 FastAPI | 🌐 Streamlit
📫 Contact: loic.rouaud@gmail.com