Summary
James Gibbins is a product-focused data scientist with nine years of multidisciplinary experience applying data and engineering skills across energy, automotive, healthcare and cybersecurity. He blends hands-on modelling (predictive sensor analytics, MOT risk, EV battery usage) with operationalising insights through visualisation and automation, informed by prior SOC work and scripting to scale processes. Comfortable in consultancy and freelance settings, he has advised public and private clients on energy-transition topics from hydrogen modelling to demand-side response and connected mobility business cases. His background in electrical engineering and field experience designing solar PV systems gives him a practical systems view that ties models to real-world constraints. Known for clear communication developed teaching and customer-facing roles, he excels at translating technical findings into product and commercial value.
9 years of coding experience
1 year of employment as a software developer
Electrical and Electronics Engineering, Electrical and Electronics Engineering at Rutgers University
GCE Advanced Levels, GCE Advanced Levels at Exeter School
University College London
English, Spanish, French, Korean