A little bit about me

I like to think of a Data Analyst as a kind of "data doctor": someone who observes, diagnoses and interprets hidden patterns to keep organizations healthy and informed.

With a background in Food Science and Technology and specialized training in Data Analysis, I use Python, SQL, Tableau and Excel as my diagnostic tools. I've worked across e-commerce, food and environmental sectors, but the approach stays the same: uncover what's working, what's not and why.

My approach is grounded in scientific rigor and a genuine curiosity for understanding what the data is really saying. Every analysis is a diagnosis, every insight a prescription for better decisions.