Mohammed Mohammed

As a Data Scientist, I specialize in Generative AI and Machine Learning, with a focus on leveraging Large Language Models (LLMs) and Natural Language Processing (NLP) to solve complex problems. I have a proven record of leading data science projects from concept to completion, delivering high-quality Python code to automate workflows and drive data-driven decisions.

I am passionate about the entire data lifecycle, from building backend infrastructure for geospatial datasets to conducting quantitative linguistic analysis. My experience includes designing and deploying a Generative AI assessment agent using the Llama model API and developing analytics-driven solutions that have increased revenue by 15%. I thrive on collaborating with stakeholders to translate business needs into technical solutions and am always eager to connect with others in the data science and AI space.

I hold a bachelors in petroleum engineering from Sudan University of Science and Technology and a masters in Business Analytics from the University of Birmingham, where I studied as a Chevening Scholar.