Ahmed Zidane

Ahmed Zidane is a skilled Data Scientist with extensive experience in machine learning and artificial intelligence. Currently employed at Zeal, Ahmed has developed an end-to-end machine learning forecasting system with 88% accuracy while extracting and visualizing datasets to enhance decision-making and operational efficiency. Previously at Orange Innovation Egypt, Ahmed optimized large language models for Q&A tasks, developed an OCR pipeline for Arabic digits, and utilized AutoML technology for forecasting. At the National Telecommunication Institute, Ahmed implemented state-of-the-art computer vision technologies and contributed to innovative projects such as a Facial Recognition System and an Egyptian ID Card Information Extraction system. Ahmed holds a Bachelor of Engineering in Electronics and Communication Engineering from Tanta University.