Summary
Kabil Essefar is a data engineering and generative AI specialist with nine years of experience designing agile, production-ready data platforms across Big Data, ETL and ML pipelines. Based in Casablanca, he builds end-to-end solutions using technologies such as Teradata, Oracle SQL, Hadoop, Spark, Python and Talend while also delivering actionable BI with Tableau and PowerBI. His background blends academic research in NLP for Arabic dialects and practical applications—from traffic image processing to HR automation—demonstrating strength in both model development and data ops. A former data scientist and educator, he pairs hands-on implementation with mentoring and course design, which helps teams adopt robust, statistically sound data practices. Notably, he has deployed NLP and deep-learning systems as REST APIs and maintained large-scale data environments, bridging research prototypes to operational services.
9 years of coding experience
2 years of employment as a software developer
DEUG en Sciences Mathématiques Appliquées, Applied Mathematics, Montion Bien, DEUG en Sciences Mathématiques Appliquées, Applied Mathematics, Montion Bien at Faculté des Sciences Aïn Chock Casablanca
Diplôme d'ingénieur, Computer Science, Diplôme d'Ingénieur en Data Science et Machine Learning, Diplôme d'ingénieur, Computer Science, Diplôme d'Ingénieur en Data Science et Machine Learning at Institut National de Statistique et d'Economie Appliquée (INSEA)
Computer Science, Computer Science at freeCodeCamp