Loic Rouaud

As a dynamic Data Engineer at Veolia Belgium & Luxembourg, I am currently developing my technical skills in data management and analysis. Specialising in the use of Google Cloud Platform (GCP) and mastering SQL, Google BigQuery and Looker studio, I'm committed to optimising data processing and enhancement processes. My expertise enables me to make an effective contribution to data engineering projects, providing innovative, high-performance solutions for a leading environmental services company.

Projects:

🏠 House Price Prediction Engine

Engineered an end-to-end machine learning solution for real estate price prediction, combining XGBoost modeling with a Streamlit interface.

📊 Orange Data Quality Initiative

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.

📰 RTBF Article Analyzer

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.

🍷 Wine Market Intelligence Platform

Developed a comprehensive market analysis system using SQL and Tableau, delivering actionable insights for sales optimization and market opportunity identification.

- Applying advanced Python programming and popular data science libraries like NumPy, Pandas, and Scikit-Learn

- Building and deploying machine learning models

- Development of data pipeline using Apache Airflow

- Finalization using Streamlit for interactive data visualization

- Working in teams on use-case project

- Project management using GitHub for code versioning

Participation in the deployment of a Data Ambassador network within the University of Liege in order to promote open data in Wallonia - FWB.