Summary
Marina Eldib is a Senior Data and AI Consultant with 11 years of experience turning messy, multi-source data into production-ready ML solutions for enterprises across industries. She has progressed from IoT-focused deep learning research to building MLOps strategies and identity-resolution models at Dell and now Deloitte, combining strong engineering (Spark, Azure, Databricks) with statistical rigor. Her work spans end-to-end pipelines, drift detection and feedback-loop design that measurably improve model performance and reduce labeling bias. Marina mentors aspiring data scientists and bridges stakeholders and engineers to prioritize features and ship impactful data products. Based in Egypt and holding a master’s in Data Science from UT Austin, she brings a pragmatic blend of academic grounding and hands-on delivery. An often-overlooked strength is her fluency in tying graph analytics and business insights to uncover marketing and operational opportunities beyond pure model metrics.
11 years of coding experience
8 years of employment as a software developer
Bachelor's degree Business Informatics, Bachelor's degree Business Informatics at The German University in Cairo
Master's degree Data Science, Master's degree Data Science at The University of Texas at Austin
French Baccalaureate Sciences, French Baccalaureate Sciences at College du Sacre Coeur
English, French, Arabic, Spanish