Russell Bonnici is a Lead Data Scientist based in Birmingham with 8 years’ experience applying ML and MLOps to real-world business problems, currently leading a team at NEXT to measure digital marketing effectiveness. He has built end-to-end forecasting pipelines and cost-efficient deployments on GCP (MLFlow, Cloud Run) for large-scale energy monitoring, and created dashboards that automated 90% of analysts’ reporting work. Comfortable shipping product-facing code from front-end React Native demos to production ML, Russell combines strong academic grounding in AI (MSc, Queen Mary) with pragmatic feature engineering and model validation skills. Known for squeezing extra value from messy sensor and marketing data, he focuses on practical, scalable solutions that bridge analytics and business impact.
8 years of coding experience
4 years of employment as a software developer
Sixth Form, Sixth Form at Giovanni Curmi Higher Secondary
Master of Science - MSc, Artificial Intelligence, Master of Science - MSc, Artificial Intelligence at Queen Mary University of London
Bachelor of Science - BSc, Artificial Intelligence, Bachelor of Science - BSc, Artificial Intelligence at University of Malta
Secondary, Secondary at St Martin's College
Bachelor of Science (Erasmus Exchange), Artificial Intelligence, Bachelor of Science (Erasmus Exchange), Artificial Intelligence at University of Groningen
Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
Contributions:268 commits, 233 pushes, 2 branches in 9 months
A human pose estimation system for videos, that extracts kinematics that describe a gait (walk)
Contributions:95 commits, 20 pushes, 3 comments in 3 months
human-pose-estimation
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