Summary
Abdessamad Chanaa is an Associate Professor and data scientist with nine years of experience bridging AI research and practical analytics in the banking sector. He holds a PhD in Artificial Intelligence and has led applied projects such as churn management, product recommendation and a unified lakehouse view for Crédit Agricole du Maroc, combining ML models with Azure data pipelines and Power BI dashboards. His academic work focuses on recommender systems, NLP, and learner modeling — including sentiment analysis in Moroccan Darija and context-aware recommendation using deep learning and graph-based techniques. He teaches courses from AI and data mining to data warehousing and web development, mentoring students while translating research into deployable solutions. Known for blending rigorous research methodologies with cloud-native production practices, he brings both scholarly insight and hands-on engineering to data-driven problems. Based in Rabat, he often connects local language NLP challenges with scalable enterprise analytics, a less obvious but recurring thread in his work.
9 years of coding experience
7 years of employment as a software developer
Computer Science Engineering, Computer Science Engineering at École Nationale des Sciences Appliquées de Marrakech
Doctor of Philosophy - PhD, Intelligence artificielle, Doctor of Philosophy - PhD, Intelligence artificielle at Mohammadia School of Engineers
Arabic, French, English, German