Mohammed is an experienced data scientist with over 14 years dedicated to innovative solutions for geospatial challenges through a multi-disciplinary approach. He specializes in integrating geospatial data with Machine Learning algorithms to extract insights and automate tasks. Since joining Ramboll, he has developed applications optimizing land management with satellite imagery and machine learning. His initiatives include piloting novel approaches to enhance efficiency through AI and automation, optimizing resource allocation with genetic algorithms, quantifying uncertainties in heating networks using Monte Carlo simulations, and developing an in-house retrieval-augmented generation (RAG) application utilizing the OpenAI API. Additionally, he focuses on enhancing user engagement through A/B testing and dashboard visualization.
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