Thabet Chelligue is a Senior Data Scientist based in Abu Dhabi with over a decade of hands-on experience turning large, diverse datasets into production-ready ML solutions across energy, finance, media, and edtech. At ADNOC Group’s AIQ he leads ML efforts for Virtual Flow Metering and ESP failure detection, blending statistical rigor with engineering pragmatism to deliver operational impact. Previously at G42 he bridged quantitative research and software teams to deploy NLP-driven market models and systematic trading dashboards, and earlier roles include building recommendation engines, fraud detection with graph databases, and education analytics. Trained at Télécom Paris in Big Data, he pairs deep NLP and time-series expertise with a talent for designing intuitive dashboards that accelerate adoption by product and operations teams. Notably, his work consistently emphasizes simplifying complex problems into pragmatic, deployable solutions that drive measurable business outcomes.
11 years of coding experience
8 years of employment as a software developer
Master of Science - MSc, Big Data, Master of Science - MSc, Big Data at Télécom Paris
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