I started in physics
I learned to look at a messy phenomenon and search for the rule behind it. It is the same thing I do today, with company data instead of particles.
I became a data scientist
Demand models, risk, forecasting. I found out the problem is almost never the algorithm — it is data arriving from ten different places, each in its own format.
I moved to decisions
Fraud detection in trading, catalog matching in marketplaces, data architecture for asset managers, agents that answer customers. Data and AI in service of a decision someone has to defend. Things that run in production, not in slides.
Always teaching
Courses, mentoring and talks on data, Python and AI — from data fundamentals to automated decisions. Explaining something well is the best way to find out whether you really understood it.
And now, from Italy
Living and working in Europe, with one foot on each continent. Still amused by seeing both markets up close.