Data-driven visualization project exploring how STEAM students can strategically adapt their skills and career planning to remain competitive in an AI- and automation-driven job market.
Developed unsupervised models to detect anomalies in train cooling systems for the Belgian National Railway Company (SNCB), helping prevent train delays and reduce maintenance costs.
Created a custom PostgreSQL extension for storing and analyzing chess games, introducing chess-specific data types, functions, and indices for efficient querying.
Built a web-based symptom checker predicting over 40 diseases using multiple machine learning algorithms, including deep neural networks for cancer detection and traditional ML models for disease classification.
