PhD in computer science and MSc in social anthropologist, I am a Bayesian Data Scientist working on causal reasoning under uncertainty. Currently, I work as a full-time teacher and researcher in the Department of Computer Science at the University of Buenos Aires. My main focus is on the development and implementation of causal Bayesian inference tools. The state-of-the-art skills estimator in the video game industry, which I have published in Julia, Python, and R, is just one example. Additionally, as a co-founder of Plurinational Bayes, an organization dedicated to promoting the use of Bayesian methods in Latin America, I have had the opportunity to collaborate with experts from various disciplines and contribute to the development of the scientific community in the region. I am currently responsible for the elective course Causal Bayesian Inference. My multidisciplinary background has allowed me to combine solid knowledge in social sciences with advanced skills in computer science and machine learning.