A practice built on rigor
I'm Santiago Figueroa Luchetti, a mathematical engineer who moved into consulting at 20. More than 15 projects later, I run a private practice built on a single idea: the best decisions come from understanding a problem's underlying structure.
My training is in mathematical engineering, the discipline of turning messy real-world systems into models you can actually reason with. I studied it in Madrid, and I'm currently completing a master's in artificial intelligence in Switzerland.
Starting in consulting at 20 turned out to be the best possible classroom. Across more than 15 projects I've worked with some of the largest retail and tobacco groups in Spain, as well as on internal transformation work that changed how those firms operate day to day.
Education
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Bachelor in Mathematical Engineering
Universidad Francisco de Vitoria, Madrid, Spain
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MSc in Artificial Intelligence In progress
Università della Svizzera italiana, Lugano, Switzerland
Where I've worked
Projects delivered during my time in consulting, for clients across retail, tobacco, and industry, plus internal initiatives inside the firm itself.
A private practice
This is a private practice, not an agency. Most engagements begin with an introduction, usually from someone I have already worked with, and I deliberately take on a limited number at a time so each one gets my full attention.
That also means discretion comes as standard. Client work stays between us unless we agree otherwise, and I am selective about the problems I take on, because the ones worth solving deserve the whole of my focus.
Why this practice exists
Across those projects I kept meeting the same pattern. Most organizations don't lack data. What they lack is a clear way to reason about it. Dashboards multiply, opinions collide, and the hardest questions stay unanswered: How much should we produce? Which risk matters most? Where does AI actually help us, and where is it a distraction?
Mathematical modeling answers those questions by making assumptions explicit and testable. Artificial intelligence extends that reach when patterns are too complex to write down by hand. I bring both together, choosing the right tool for the problem instead of forcing the problem into a fashionable tool.
And I do the work myself, end to end. No hand-offs, no juniors learning on your budget, just focused work on the problem you actually have.
How I think about the work
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Problem first, method second
I never start from "let's use AI." I start from what you're trying to decide, then pick the simplest approach that genuinely answers it. Sometimes that's deep learning, sometimes it's a well-posed equation.
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Honest about uncertainty
Every forecast has error bars and every model has limits. I tell you what the model knows, what it doesn't, and how much weight a result can safely carry.
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No black boxes
You get the reasoning, not just the output. I document everything I deliver so your team can understand, question, and maintain it long after the engagement ends.
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Small by design
A private practice stays fast, focused, and personally accountable. When you work with Figueroa Luchetti Consulting, you work with me, start to finish.
Curious whether modeling fits your problem?
Reach out and describe the decision you're wrestling with. A short conversation is usually enough to tell.
Get in touch