Pedro is a Data Scientist, who joined the Institute for Data Science at Maastricht University in October 2017. He has a background in Actuarial Science and Data Science.

He has wide experience in the industry, developing modular Data Products such as automated Data Science pipelines, Data Visualization solutions, and Statistical packages, some open projects can be found here

He has contributed to carried out FAIR (Findable, Accessible, Interoperable, Re-usable) principles implementation on software and data sources for research at the Institute of Data Science at Maastricht University, as well as conducting workshops on Machine Learning and its ethical implications. His technical expertise includes Legal Analytics, Text Mining, Network Analysis, Statistical Crowdsourcing and Reproducible Data Science.