The kid who bypassed passwords
When knowledge had a purpose, I became good.
I was born in Aix-en-Provence, grew up in Haute-Savoie. Working-class family. My father, a perfectionist to the core — the type who never lets anything slide. My mother, more laid-back. Me, somewhere in between, one thing was clear early on: I loved learning. But school? No.
Not for lack of ability. For lack of purpose. Learning an abstract formula without knowing what it was for was just noise. The day I understood, in my final year, that a quadratic equation could calculate acceleration in mechanics — everything clicked. When knowledge had a purpose, I became good.
While waiting for that spark, I kept busy in other ways. The family computer password to play video games? Bypassed through safe mode. School restrictions? I found something better: two student planners. One for teachers — which also served to justify my absences with a forged parental note. One for my parents — where teacher comments simply didn't exist. Perfect system, until it wasn't.
It wasn't rebellion. It was engineering, at teenager scale. Find the flaw, understand the system, make it work in your favor. Years later, I do exactly the same thing — but with databases, APIs, and AI models.
Mechanics, then the void
Mechanics was my first real passion. Something concrete, logical, where every part has a function. I could have stayed there. But life doesn't always follow the plan — especially when there isn't one.
After school, I went through a string of odd jobs. No linear path, no career plan. On the side, I trained in NLP — neuro-linguistic programming — to learn to communicate better. Not out of intellectual curiosity: out of necessity. Understanding how people work never came naturally to me. I had to learn it, like learning a foreign language. It made me better, not just in interactions, but in the way I frame problems.
And then 2020 happened.
Lockdown as an accelerator
For the first time since mechanics, I had found a field where logic served something concrete.
March 2020. The world stops. I start. While most people endured the lockdown, I stumbled upon the live streams of Anis Ansari, from Defend Intelligence. Data, Python, SQL, visualization — all of it, live, for free. The spark caught.
It wasn't a calculated career choice. It was visceral. For the first time since mechanics, I had found a field where logic served something concrete: turning raw data into decisions. I followed up with a Data Analyst program at OpenClassrooms, RNCP level 6 diploma in hand.
But a diploma without experience, in France, doesn't count for much. Doors stayed closed. So I did what I've always done: work around the problem.
Portugal, Google, and the first proof
For a team flying blind, it was a paradigm shift.
Off to Portugal. Not exile — repositioning. That's where I landed my first real data role: Business Analyst at Teleperformance, on a Google project.
The context was unique. The project was brand new internally, with no established processes, no structured reporting. Exactly the kind of terrain I thrive on: a void to fill with concrete work. I built the first team performance dashboards, automated reporting — ten hours per week recovered — and identified quick wins in sales opportunity data. Nothing spectacular on paper. But for a team flying blind, it was a paradigm shift.
Google taught me a lot. Rigor, data culture, collaboration at scale. Yet something felt off. I knew I had the potential to do more — but in such a structured environment, contributing beyond what was asked remained difficult. The ambition was there, but not the space.
Tbilisi: the month that changed everything
Georgia, initially, was a one-month ticket. See the Caucasus, get some fresh air, nothing permanent.
One month became two, then six, then a life. Tbilisi has that rare mix: raw energy, a welcoming culture, and an ecosystem where everything is still being built. I also met Darina there — and some decisions don't need pros and cons.
What's striking about travel is that it reveals problems no training teaches. In Georgia, the same address can be written four different ways in Georgian script — and sometimes, there's just a GPS pin instead of an address. Before even working on this type of problem in a professional data context, I had to hack together solutions daily just to receive a package or give my address. The field trained me before the job did.
It's a constant in my journey: concrete situations teach me faster than theory. And that's exactly what I bring to my clients.
Why consulting
My goal remains simple: turn data and AI into concrete levers.
At Google, I built solid foundations: rigor, data-driven thinking, collaboration at scale. But I felt my potential exceeded the scope I was given. I wanted to choose the problems to solve, the companies to work with, and the shape the impact would take.
Independent consulting is exactly that for me: the freedom to say yes to projects that matter, and no to those that just check a box. It also means accepting quieter months, tight deadlines, unexpected pivots — but in return, I decide the scale of what I build.
My goal remains simple: turn data and AI into concrete levers for my clients. Not with hot air or endless slide decks. With code that runs, automations that free up time, dashboards that actually illuminate, and knowledge transfer so they become autonomous after I leave.
The compound effect
What I do today must serve to do more tomorrow.
I don't have a grand work philosophy. But I have one principle that guides everything I build: the compound effect. What I do today must serve to do more tomorrow.
That's why I automate. Not out of laziness — out of ambition. Every automated process frees up time. Every well-designed dashboard saves hours of reporting. Every reliable data pipeline means one more decision made on facts rather than gut feeling.
The compound effect is also what I want to create for my clients. Not a one-off deliverable that ends up in a drawer — a brick that supports another, then another. A data strategy that compounds over time.
Today
Based in Tbilisi, I work primarily with French and international companies. Two languages — French and English. A timezone that covers Europe and beyond. And one conviction: the best consultants are those who make their clients autonomous.
If you have a data or AI project in mind, or simply a question, let's talk.