Nada Mohamed

AI & Data Science graduate with hands-on experience across the full machine learning lifecycle — from data engineering and feature design to deep learning model development and deployment. Built a multimodal deepfake detection system (TruthLens AI) as a graduation project, alongside applied work in computer vision, NLP, and large-scale data pipelines. Comfortable moving between research-level model iteration and practical, production-minded engineering.

Bachelor of Computer Science in Artificial Intelligence & Data Science – Private Beni Suef University, Egypt