Jesus Lago

Applied Science Manager at Amazon

Barcelona, Catalonia, Spain
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Summary

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Jesus Lago is an Applied Science Manager with 11 years of experience leading a 20-person multidisciplinary team at Amazon EU Prime & Marketing, delivering Bayesian geo-RCTs, attribution, recommendation systems, causal inference, econometrics, and GenAI tools that enable data-driven decisions across 200+ product managers. He combines deep academic training (PhD in ML/Optimal Control) with hands-on research and engineering—authoring open-source projects like optidef and epftoolbox and contributing to Amazon’s causal-validation package and scientific publications. Jesus has a rare blend of domain expertise in energy markets and logistics impact modeling, which he applies to measure marketing lift and the business effects of delivery-speed changes. Based in Barcelona, he is equally comfortable mentoring scientists, shipping analytics products at scale, and translating complex causal methods into accessible tools for non-technical stakeholders.
code11 years of coding experience
job10 years of employment as a software developer
bookMsc. on Microsystems Engineering Major in Optimal Control Optimization and Mathematical Modeling, Msc. on Microsystems Engineering Major in Optimal Control Optimization and Mathematical Modeling at The University of Freiburg
book5 years-degree Industrial Engineering Major in Control Electronics and Robotics, 5 years-degree Industrial Engineering Major in Control Electronics and Robotics at Universidade de Vigo
bookDoctor of Philosophy (PhD) Machine Learning Optimization Optimal Control Energy Systems Energy Markets, Doctor of Philosophy (PhD) Machine Learning Optimization Optimal Control Energy Systems Energy Markets at Delft University of Technology
languagesenglish c1, Spanish, Galician, Portuguese, german a2
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Github Skills (61)

electricity-price-forecasting10
latex9
r8
nonlinear7
anova7
linux7
octave7
matlab7
react7
extensible7
macos6
forecast6
poppler6
forecasting6
ipopt6

Programming languages (5)

C++TeXJavaScriptPythonFortran

Github contributions (5)

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jeslago/optidef

Jun 2016 - Dec 2020

A Latex library for optimization problems
Contributions:45 commits, 40 pushes, 1 branch in 4 years 7 months
latex
jeslago/epftoolbox

Jun 2020 - Jul 2021

An open-access benchmark and toolbox for electricity price forecasting
Contributions:3 reviews, 58 commits, 10 PRs in 1 year
electricity-price-forecasting
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