Carlos Aguilar is a Senior Principal Data Scientist based in London with 10 years of experience building production-ready ML and signal-processing solutions for large, multicultural organizations. He has led end-to-end predictive modelling and automated forecasting projects at Tesco and progressed to principal and senior principal roles at EF Education First, combining Matlab, Python, C++ and SQL expertise to ship robust algorithms under tight timelines. Carlos holds a PhD in Interpretable Machine Learning and applies that research mindset to make complex models actionable and transparent for stakeholders. Comfortable both in R&D and production settings, he has a track record of translating signal-processing intuition into scalable ML systems and communicating results clearly across technical and non-technical audiences. An underappreciated strength is his cross-domain fluency—from biomedical imaging research to retail forecasting—which helps him find novel data-driven leverage points.
10 years of coding experience
8 years of employment as a software developer
Master’s Degree, Physics, Master’s Degree, Physics at Master’s in Physics And Mathematics
Doctor of Philosophy - PhD, Interpretable Machine Learning, 10/10, Doctor of Philosophy - PhD, Interpretable Machine Learning, 10/10 at Universidad Rey Juan Carlos
Implicit contrastive explanations in GBDT regressors
Contributions:13 commits, 2 PRs, 12 pushes in 1 year 1 month
explanationsgbdtimplicitcontrastive
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