My name is Arturo and I am a highly-caffeinated Data Scientist with a BSc in Economics, an MSc in Applied Economics and over seven years of experience in the field.

As a Data Scientist, I use data to:

1. Make predictions, and
2. Quantify cause-effect relationships.

In the past, I have developed predictive tools to forecast all sorts of phenomena. As an example of my work as a Data Scientist, you can click here to send requests to a credit score I published a few years ago (which is still being consumed by multiple Fintechs all over the world!).

I am currently developing a PySpark implementation of the Louvain algorithm for community detection for @BBVA. I had never worked with Graphs prior to this, but developing this algorithm has quickly made Graph Theory one of my favorite fields of study. In fact, I have made a few contributions to NetworkX and GraphFrames as part of this project!

Hopefully, I'll be able to publish the algorithm as part of mercury (BBVA's open-source library) soon.

I'm actually really glad you're here, so I'll try to make it worth your while.

You can:

1. Try out this Python class to interpret any kind of NLP model;
2. Check out this YouTube comment scraper;
3. Review some entry-level stats; or
4. Use this cheat-sheet to ace the AWS Certified Cloud Practitioner exam.

Hope you enjoy your stay (;