Paul Thomas

Data Scientist Senior Ai Engineer @Shell

London, GB

Main Roles: AI/Data Science professional working on Machine Learning and Deep Learning projects across various disciplines including subsurface, process engineering and chemical analyses.• Software development teamwork using Python, Databricks Apache Spark SQL and MATLAB.• Participation in seismic and well data ML and DL projects. Expertise in processing, programming and QC of Subsurface Data.• MATLAB focal point, tracking the roadmaps, informing strategic decision making, working on building community, communications, and documentation. Developing MATLAB apps and advising other groups on deployment platform solutions and CI/CD. • PoCs: to integrate MATLAB with other environments and alongside other tools.• Involvement in projects in the Process Engineering, Chemicals, Predictive Maintenance, Structural Geology and Rock Physics spaces, Key Achievements:• Special Recognition Award for MATLAB platform support, December 2023.• Won 2nd Place for the Chemicals Park Use Case at the Shell-Databricks Codefest Finals, November 2022.• Recognised at the Digitalisation and Computational Science Q4 2020 Awards as part of a project team. • Project team was awarded a prize for the integrated data platform in MATLAB Q1 2020.• Training of geophysicists to scale out a DL denoise solution to other locations.• Successfully developed a subsurface QC workflow to generate synthetic seismic from Acoustic Impedance predictions, to test the DL models.

Imperial College London

Bachelor of Science (BSc) (Honours) , Geology (specialising in Geophysics)