Marília Felismino Simões
With over 15 years of experience in Data Science, Marília Felismino Simões has held prominent roles in renowned companies such as TomTom and TNT/FedEx, where she led Data Science teams and oversaw TomTom's extensive worldwide e-commerce operations for map sales.
Marília brings a wealth of expertise in International Digital Business Management and Customer Intelligence Management, boasting over a decade of experience in both domains. Her unique blend of business acumen and analytical skills enables her to approach strategy, design, and business solutions development with a practical, evidence-based, and hands-on mindset.
Having spent a part of her life in global positions in Amsterdam, Marília has relocated to Lisbon, where she is passionately pursuing entrepreneurship. Alongside her husband, she co-founded ML Analytics, a boutique specialized in generating business value from company data using state-of-the-art Artificial Intelligence tools. The company operates multi-nationally with renowned clients such as ESA - European Space Agency.
As an independent consultant specializing in Data Science and Business Analytics, Marília and her team assist companies in leveraging their data to drive tangible business outcomes by applying state-of-the-art AI and Data science techniques, embodying her mantra of "Turning DATA into BUSINESS".
Session
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.