• Established a data science consultancy in Spain, specializing in machine learningapplications delivered as web apps across diverse sectors.• Forecasting patient hospital stays and emergency room demand in a public hospital,increasing surgical capacity by 10%.• Developed a Deep Learning model which is served with a shiny app for detecting cartelsin public procurement, showcased at the European Competition Day.

• Participated in the statistical analysis aimed at obtaining FDA approval for Hyfe as amedical device.• Designed and developed reusable software components for the main shiny app used byresearchers to track their clinical trials, reducing development time by 50%.• Re-engineered critical modules that sped up data retrieval by 20-fold.

I served as an R developer for the Girona University's Statistics, Econometrics, and Health Group, contributing to the development of packages for efficient statistical tables publishing and a Shiny app visualizing COVID-19's effect in Catalonia.

I generated daily COVID-19 impact reports for local authorities and hospitals while also evaluating the effects of school closures on virus transmission rates.

I helped Prof. Marta Reynal-Querol’s research group by finding, processing and analysing data with STATA, Excel and QGIS, that aims to shed light into the mechanisms that cause long-term economic growth.