About
Wajdi Ben Saad is a statistician, AI expert, and data science leader working across artificial intelligence, agentic AI, AI agents, machine learning, statistics, analytics, automation, teaching, and data visualization.
He works at the intersection of statistics, artificial intelligence, and applied data science, with a focus on turning analytical methods into practical systems, tools, agents, and decisions. His work spans machine learning, deep learning, agentic AI, automation, model evaluation, and data visualization.
He is an Accredited European Statistician, AEUStat, and contributes to the professional and academic data community through teaching, research, software, talks, mentoring, and public-facing data projects.
His current interests include efficient AI systems, agentic AI, AI agents, small language models, specialized classification, evaluation methodology, and high-quality visual communication for analytical work.