Alexander Daniel Rios is completing a degree in Electronic Engineering from Universidad Tecnológica Nacional (UTN, FRBA), a public engineering university in Buenos Aires. It was through the ML Zoomcamp program that he first discovered his passion for programming and data science, which led him to explore the world of Python, machine learning, and data-driven problem solving.

Alexander has been a Python developer for over 7 years, and for the past 3 years he has focused on applying data science techniques to real-world challenges. That combination of solid software engineering habits and applied machine learning training shapes how he approaches problems: start with the data, keep the solution practical, and let measurable results drive decisions.

He is now transitioning into a role as a Data Scientist or Machine Learning Engineer, bringing with him the discipline of an experienced developer and the curiosity of someone who genuinely enjoys turning data into answers.