Summary
Felipe Sassi is a senior data scientist and machine learning engineer based in Santa Catarina, Brazil, with seven years of industry experience. He earned a Master of Engineering in Information Technology from Universidade Federal de Santa Catarina and a Bachelor of Engineering in Electrical, Electronics and Communications Engineering from UTFPR, grounding his work in a strong technical foundation. Since 2023, he has been applying data-driven approaches at Trustly, bridging experimentation with scalable machine learning to optimize decisions. Felipe’s background spans systems-thinking engineering disciplines, enabling him to tackle end-to-end data science projects—from data collection and modeling to deployment and monitoring. His GitHub profile reflects a practical, results-oriented mindset in data science, evidenced by his concise “Senior data scientist” bio. Outside the day job, he brings curiosity and a collaborative approach to cross-functional teams, continuously learning to push ML from prototype to scalable solutions.
7 years of coding experience
5 years of employment as a software developer
Master of Engineering - MEng, Information Technology, Master of Engineering - MEng, Information Technology at Universidade Federal de Santa Catarina
Federal University of Technology – Paraná
Spanish, English