Hello — I'm an Argentine student transitioning into Econometrics & Operations Research, interested in modeling and decision-making under uncertainty.

Notes
When Numbers Lie On correlation, causation, and the ways statistics mislead.
What Does Your Whoop Actually Measure? What HRV, recovery scores, and fitness wearables actually track.
Why Does Your Ride Cost More in the Rain? The economics of surge pricing and real-time demand.
The 3-Second Decision How F1 teams process data and make calls under pressure.

This is my story, alongside a few photos from Buenos Aires.

I've always been a curious person. When something catches my attention, I look it up until I understand it.

When I started my business degree, I was drawn to courses where numbers connected directly to decisions. I expected that kind of thinking throughout the programme, but found it mainly in quantitative subjects.

Statistics was where that clicked most clearly. It pushed me to start exploring data on my own, outside of class.

Because I've always followed sports closely, it felt natural to start there. I began working with datasets, learning Python, and exploring patterns behind performance and results.

Working on those projects, I realized what I was looking for: tools to make optimal decisions when information is incomplete and conditions keep changing. That is what drew me to EOR.

I aim to apply optimization and decision modeling in industries where outcomes depend on dynamic and uncertain conditions, such as sports analytics and revenue management.

Outside of academics, I enjoy football, going to the gym, playing Catan with friends, and exploring new technologies.