Summary
Nathan Hartmann is a seasoned data science leader and PhD in Artificial Intelligence from USP with over a decade of experience building ML and AI solutions at Itaú Unibanco, where he now coordinates the corporate insurance data science team. He has driven high-impact projects in fraud detection, KYC, facial biometrics for authentication, transaction categorization and cash demand forecasting across a national banking network. Comfortable bridging research and production, Nathan has published and reviewed in language-resources venues and taught Deep Learning in an MBA program, reflecting strong NLP and deep-learning foundations. He also contributed to pandemic-response modeling for COVID-19 demand forecasting, highlighting his ability to apply advanced models to real-world societal challenges.
12 years of coding experience
12 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Universidade Estadual de Maringá
University of São Paulo
Portuguese, English, Spanish