John Mccoy
Lead Data Scientist
United Kingdom
Summary
👤
Senior🎓
Top SchoolJohn Mccoy is a Lead Data Scientist with nine years of experience applying machine learning and analytics to industrial and utilities problems, currently leading data science at Sand Technologies after ExploreAI’s acquisition. He blends a PhD in Chemical Engineering with hands-on process engineering experience at Sasol and postdoctoral research, enabling deep domain insight into assets, processes and telemetry. His work spans end-to-end delivery—scoping projects, stakeholder engagement, mentoring, and productionising solutions such as leak detection from acoustic signals, pump performance extraction, and pollution forecasting from multimodal telemetry. Comfortable moving between research and applied engineering, he has a track record of translating academic methods (e.g., variational autoencoders, clustering, trend analysis) into operational value across water utilities, minerals processing and pharmaceuticals. Colleagues rely on him for technical review and knowledge capture, and he regularly shapes best practices across distributed data and software teams. Based in the UK, he combines domain-first thinking with pragmatic delivery to drive measurable improvements in asset performance and customer outcomes.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Chemical Engineering, Doctor of Philosophy (PhD), Chemical Engineering at University of Cape Town
Github Skills (2)
circuit7
simulation6
Programming languages (1)
Github contributions (5)
ProcessMonitoringStellenboschUniversity/ME-milling-circuit
Mar 2017 - Aug 2019
Milling circuit simulation model and simulation data
Contributions:20 commits, 5 PRs, 25 pushes in 2 years 6 months
circuit-simulationdata-simulationcircuitsimulationmilling
ProcessMonitoringStellenboschUniversity/IFAC-VAE-Imputation
Aug 2018 - Mar 2019
Contributions:11 commits, 8 pushes, 1 branch in 7 months
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