Summary
Jonnathann Finizola is a data scientist with nine years of experience blending academic research and industry practice in machine learning, deep learning, and applied data analysis. Currently at Semantix and pursuing a master's at USP, he brings research-driven rigor from projects at FAPESP and Cobli, including driver identification via behavior analytics and vehicle tracking. Proficient in Python, Java, C/C++, JavaScript and exploring Docker, APIs and AWS, he builds reproducible pipelines that bridge prototypes and production. His background teaching robotics and mentoring Java students underscores a strong aptitude for translating complex concepts into practical learning tools. Curious and collaborative, he is passionate about AI and regularly applies academic methods to real-world data problems in São Paulo. An often-overlooked strength is his combined experience in both embedded/robotics environments and cloud-based ML workflows, which helps him tackle end-to-end ML system challenges.
9 years of coding experience
5 years of employment as a software developer
Bachelor's degree, Computer Science, Bachelor's degree, Computer Science at Universidade Federal da Paraíba
University of São Paulo
English, Portuguese