Data Scientist and Developer in Ciudad de Buenos Aires, Buenos Aires, Argentina

I am a data scientist researcher at Fundar. Fundar is an organization dedicated to studying, researching, and designing public policies focused on developing a sustainable and inclusive Argentina. There I have worked for different government dependencies, such as the Ministry of Tourism, the presidential secretary, and more. Also, I had to direct research scholarships that the foundation grants to students from different universities.

I designed all of the subject content together with another professor.
I was responsible for giving theoretical and practical classes, correcting and designing midterms, and taking final tests. Due to the COVID-19 lockdown, all of the online classes (in Spanish) are available on YouTube; if you would like to view them, contact me for the link.

I should correct and review technical articles that different authors write for the Auth0 technology blog. The subject of the articles includes various fields: machine learning, security, developing frameworks, design patterns, and more.
I should also test the applications or code the authors develop in the article to see if they were well designed and implemented.

In this article, I show how to make a social network analysis using the Twitter API, R, and Gephi. By downloading a specific conversation, I build the social graph, plot it through a meaningful layout, and identify its principal communities.

In this second article, I applied centrality measures to detect the principal actors of the discussion and natural language processing techniques to understand what they are talking about in each community.

Two heads are better than one. This proverb describes the concept behind ensemble methods in machine learning. In this article, I examine why ensembles dominate ML competitions and what makes them so powerful.

Data science is changing the world, it is at the heart of the fourth technological revolution. But how do we get here? How is the world changing? What else does this future hold?
In this article, I introduce the irruption of data science in our life, how we get here, some representative cases, and where we are going.

In a world where data is more valuable than oil, the demand for data scientists and analysts is skyrocketing. In this article, I present the best tools for tapping into these data reserves. Hands down, Python is the clear choice for any aspiring developer trying to break into the field of data analysis.

I developed, on my own, an entire application to monitor social networks like Instagram, Facebook, and Twitter. It has statistics about any public account needed and sends messages/alarms to the client through a telegram if something important is happening.

It has a back end in R to download information, process it, and calculate statistics and a PHP front end to show the data. I also used C to manage sessions, create, delete, modify searches, and more.

IMDb ratings have genre bias: Dramas tend to score higher, for example. Is there a way to remove such biases and discover what makes a movie unique?

In this article, I show you how to refine IMDb scores and create a better ranking system through data science and machine learning techniques.

Hiring an IT candidate is one of the hardest tasks that human resource professionals have to accomplish. Demand for IT professionals is greater than available individuals on the market, which produces competition between companies for the scarcely qualified developers.
In this article, I advise you on how to improve your candidates' research and hire the best profiles for your team.