Carlos Cambero Rojas is a researcher at the University of Extremadura, focused on the automation of Data Science pipelines. Currently, his work is centered on implementing automated solutions for data preprocessing, aiming to improve reproducibility and replicability in data science projects.

As a graduate in Software Engineering and a Master’s in Computer Engineering, he applies software engineering principles to the development of tools and frameworks for Data Science, combining best programming practices with agile methodologies.

His research contributes to the systematization and improvement of processes in Data Science, focusing on creating solutions that facilitate the work of data scientists and enhance the quality of analytical results.