Ibrahim Mohamed Aljarrah

Professional Experience

Ibrahim Mohamed Aljarrah is a Data Governance Consultant at Kaizen. Previously, he served as a Data Management Analyst at Trusted Vision for Governance and Consulting. He also gained academic experience as a Teaching Assistant at Jordan University of Science and Technology, where he supported courses in databases, data mining, and web design.

Practical Expertise

Ibrahim possesses practical expertise in data management and governance, including developing data management strategies, conducting current state assessments, and designing data classification policies aligned with national and international standards. He contributed to a major project supporting the evaluation and enhancement of data management practices at the Saudi Electricity Regulation Authority. His technical background includes hands-on experience with machine learning and data analysis through intensive training at the UAE Alliance for Technical Solutions, where he developed fraud detection models, house price prediction systems, and sentiment analysis solutions using Random Forest, SVM, and Kaggle methodologies. He also gained deep learning experience by building advanced computer vision models for image classification, archaeological site recognition, coin detection, and wheat image segmentation using CNN and RNN architectures. Additionally, he supports the formulation of data governance policies aligned with NDMO frameworks and coordinates with project and data management teams to ensure compliance with governance requirements and personal data protection controls.

Educational Background and Training

Ibrahim holds a Master’s degree in Data Science from Jordan University of Science and Technology, and a Bachelor’s degree in Computer Science from Al-Balqa Applied University in Jordan. His credentials include the Certified Data Management Professional CDMP® from the Data Management Association International, as well as the Microsoft Azure AI Fundamentals certification. He has also completed specialized training programs in data analysis, machine learning, and deep learning through industry and academic engagements.