Summary
Nizar Ghoula is a Head of Data Science and Analytics with 13 years of experience fusing AI research, knowledge engineering and software engineering to build production-grade data and risk solutions. He has led AI strategy, Centers of Excellence and end-to-end data platforms for major banks, delivering credit-risk models, GenAI-driven automation and client-centric analytics at scale. His background bridges formal knowledge representation (ontologies, conceptual modeling) and hands-on engineering (Java, cloud, APIs, ML), enabling pragmatic solutions that respect governance and explainability. A PhD in Information Systems and early work on multilingual terminologies and semantic web set him apart as someone who turns formal models into business impact. Notably, he has driven multimillion-dollar ad and product improvements through ontology-driven search and placement while transforming teams and delivery practices. Based in Geneva, he blends academic rigor with product ownership to operationalize complex AI in regulated environments.
13 years of coding experience
8 years of employment as a software developer
Bachelor Theoretical and Mathematical Physics, Bachelor Theoretical and Mathematical Physics at IPEIT - Institut Préparatoire aux Etudes d'Ingénieurs de Tunis
Engineer Computer Science, Engineer Computer Science at ENSI - Ecole Nationale des Sciences de l'Informatique
Masters Applied Mathematics, Masters Applied Mathematics at Université Grenoble Alpes
Artificial Intelligence in Finance, Artificial Intelligence in Finance at CFTE - Centre for Finance, Technology and Entrepreneurship
Doctor of Philosophy (PhD) Information Systems, Doctor of Philosophy (PhD) Information Systems at University of Geneva
Introduction to project management Information Technology Project Management, Introduction to project management Information Technology Project Management at EPFL
Arabic, English, French