Hamza N is a Data Scientist with five years' experience building, deploying and monitoring machine learning models across insurance and engineering domains. Currently at Direct Line Group, he applies predictive analytics to improve policy pricing and business decision-making, having previously delivered risk models at Domestic & General and Shift. His background in mathematics and mechanical engineering informs practical solutions—from neural networks trained on FEA outputs to large-scale SAS and SQL workflows handling 30M+ rows. Comfortable with TensorFlow, scikit-learn and PowerBI, he also has hands-on experience managing and mentoring junior engineers in agile teams. Colleagues rely on him to translate complex statistical results into clear stakeholder actions that move pricing and risk strategies forward.
5 years of coding experience
5 years of employment as a software developer
A Levels Mathematics Further Mathematics Physics, A Levels Mathematics Further Mathematics Physics at The City of Leicester College
Bachelor of Science - BS Mechanical Engineering and Mathematics, Bachelor of Science - BS Mechanical Engineering and Mathematics at Technical University of Munich
GCSE General Studies, GCSE General Studies at Crownhills Community College
Bachelor of Science - BS Mathematics, Bachelor of Science - BS Mathematics at Aston University
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