About — in the speaker's own words
As Head of Data Science at Oxford Global Projects, I have dedicated my career to improving project planning and decision making through the use of data-driven methods. In my role, I lead technical projects involving advanced techniques like natural language processing and machine learning, and am responsible for managing a database of project performance data from over 17,000 projects across all industries. This data is used to inform future projects and improve our understanding of project performance. In addition to my work at Oxford Global Projects, I serve as an external examiner for quantitative methods and data science courses at universities in Denmark.
My passion is to apply data science to the field of project management and help our clients achieve their objectives. I am constantly seeking new and innovative ways to do so and am excited to continue pushing the boundaries of what is possible. I have a strong track record of success, including leading external risk analysis on some of Europe's largest capital projects, contributing to project appraisal methodology for the UK Department for Transport, and presenting statistical analysis and results to senior management and high-level figures globally. I have also led work on a diverse range of projects, including the feasibility assessment of the first road between settlements in Greenland, the risk modeling of large scale nuclear new builds and decommissioning programs, and the development of an AI-based Early Warning System for the Development Bureau in Hong Kong. My expertise in data-driven project planning and risk analysis, as well as my ability to effectively communicate technical information to diverse audiences, have been key to my achievements in this field.