Rebeen Ali Hamad
Rebeen Ali Hamad
Senior Data Science Analyst II at DXC Technology
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I am a Senior Data Science Analyst II at DXC Technology specialising in machine learning, data science, entity resolution, and cloud-based analytics. I design and deliver scalable data solutions that transform complex datasets into actionable insights, supporting business decision-making and digital transformation initiatives.
Before joining DXC Technology, I was a Research Associate at Newcastle University, where I applied machine learning and healthcare informatics techniques to study polypharmacy and multiple long-term conditions. I hold a PhD in Machine Learning from Northumbria University, with research focused on human activity recognition, sequential learning, and representation learning.
My expertise spans machine learning, AI, entity matching, data engineering, information retrieval, and large-scale analytics. I enjoy solving complex data challenges and building practical AI solutions that deliver real-world impact.
Rebeen Hamad
DXC Technology
Rebeen Hamad
DXC Technology
I hold a PhD in Computer Science from Northumbria University, specialising in Deep Learning, Sequential Learning and Human Activity Recognition, and an MSc in Computer Science with Distinction from the University of Nottingham, awarded through the HCED Iraq scholarship programme. My academic journey also includes international research experience at Halmstad University, Sweden, where I undertook Licentiate-level research and published several scientific papers.
From October 2022 to March 2026, I worked as a Postdoctoral Research Associate at Newcastle University, contributing to the AIMULTIPLY project, where my research focused on applying Artificial Intelligence and Machine Learning to healthcare data, particularly multimorbidity, polypharmacy and hospital readmission prediction. I subsequently progressed into industry as a Senior Data Analyst at DXC Technology, continuing to develop my expertise in data science, AI and emerging technologies.
My research interests include Artificial Intelligence, Machine Learning, Deep Learning, Self-Supervised Learning, Healthcare AI, and Data Science, with a particular focus on developing intelligent, data-driven solutions to real-world challenges.
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