Hamza Khlefat

Professional Experience

Hamza Khlefat is a Compliance, Risk, and Data Science Consultant at Kaizen Consulting, with a strong career background in banking, government, and digital transformation. Previously, he worked as a Senior Data Scientist at Arab Bank (Jordan) and a Digital Analyst at the Royal Hashemite Court, where he delivered advanced data-driven solutions to support decision-making, compliance, and risk management. He also served as an Application Development Specialist at Arab Bank, managing and enhancing digital channels and enterprise systems.

Practical Expertise

Hamza has extensive expertise in data science, risk management, and compliance, with a proven track record in developing machine learning and predictive analytics models using Python, R, and SQL. At the Arab Bank, he built AI-powered fraud detection and anti-money laundering models with techniques such as Random Forest, SVM, and XGBoost, alongside automated alert systems. At the Royal Hashemite Court, he developed NLP-based sentiment analysis models to monitor public engagement on social media, and created interactive dashboards with Power BI for decision-makers. His technical portfolio also includes RESTful API development with Java Spring Framework, database analysis, automated testing scripts, and digital banking systems management, complemented by current work on evaluating and updating data management practices at the Electricity and Cogeneration Regulatory Authority in Saudi Arabia.

Education & Training

Hamza holds an M.Sc. in Enterprise Systems Engineering and a B.Sc. in Computer Science from Princess Sumaya University for Technology (Jordan). His professional development includes advanced certifications in data science, deep learning, business analytics for decision-making, and risk analysis using AI. He has also received intensive training in economic forecasting, interactive dashboard design, and data visualization tools (Tableau, Power BI), along with practical expertise in deep learning frameworks such as TensorFlow. This blend of academic excellence and hands-on technical training equips him to bridge compliance, risk, and data science for institutional performance and digital trust.