Summary
Isaac Sacramento is a Senior Data Scientist based in Munich with a decade of experience marrying advanced machine learning research and production analytics. He is completing a PhD in Computer Science focused on applying ML, geostatistics and reservoir characterization to simulate and predict reservoir properties, bringing deep domain expertise in geosciences. Isaac has progressed from academic research and lecturing to industry roles where he builds, tests and deploys ML systems—most recently leading data science efforts at Fricke und Busch after developing parking-spot detection models at ParkHere. His background spans applied software engineering (Java, C#) and hydrological forecasting systems, enabling him to bridge model development and robust production implementation. Colleagues value his blend of rigorous research methods and practical engineering that tackles complex spatial and environmental data problems.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy (PhD), Development and Application of Machine Learning Techniques in Reservoir Properties Modeling, Doctor of Philosophy (PhD), Development and Application of Machine Learning Techniques in Reservoir Properties Modeling at Universidade Federal de Santa Catarina
Bacharel em Ciência da Computação, Engenharia de Software, Bacharel em Ciência da Computação, Engenharia de Software at Universidade Federal da Bahia
Portuguese, English, German