Mohamed Sabbah

Machine Learning and Data Analytics Sr. Specialist at Vodafone

Act as a centralized AI and advanced analytics partner supporting multiple Vodafone business and technology functions. Develop ML and NLP solutions covering data analysis, feature engineering, modeling, and evaluation. Collaborate with stakeholders to translate business problems into AI-driven use cases. Selected use cases include: a Retrieval-Augmented Generation (RAG) system to extract insights from unstructured Arabic and English financial PDFs with 93% accuracy; an LLM-based enrichment pipeline using web scraping to identify POS device types from TAC codes with 95% accuracy; an LLM-powered enrichment pipeline integrating web data and Google Maps APIs to extract enterprise customer information with 90% accuracy; and an SMS anomaly detection system using Prophet-based time-series forecasting for early issue detection.