What does it mean to lead a boutique data science company in Portugal working with clients across the globe, including the European Space Agency? In this talk, we’ll share the journey of building a specialized team that operates in banking, telecom, pharma, and space, with a spotlight on one of our contributions to the European Space Agency’s ARIEL mission.

As part of this collaboration, we’ll showcase an interactive Streamlit app we developed as an educational tool to explore exoplanet data, from raw light curves to atmospheric spectra, and to experiment with machine learning models that estimate those spectra. This example illustrates how Python can power real-world scientific collaboration and make complex space science accessible, explainable, and interactive.