My name is Arturo and I am a highly-caffeinated Data Scientist with over 10 years of XP in the fields of tech and finance. I have a BSc and an MSc in Economics, but I mainly use data to develop predictive Machine Learning models and estimate cause-effect relations.

I work at @BBVA as a Data Scientist and I'm currently teaching Econometrics to Master's students at @ITAM.

I'm currently enrolled in Stanford's professional Artificial Intelligence Program and I should graduate later this year.

I recently developed a vanilla PySpark implementation of the Louvain algorithm for community detection as well as a module that uses message passing to automatically engineer graph-based features.

I've also made a few contributions to NetworkX, scikit-learn and GraphFrames in recent months.

Hope you enjoy your stay (;