Natalia Pattarone is an accomplished Data Science Lead at Azumo, where she spearheads the development of intelligent, data-driven solutions that blend machine learning, computer vision, and natural language technologies. With over a decade of experience across software engineering and data science, Natalia combines academic rigor with real-world execution to drive impact for clients and teams alike.
At Azumo, she leads cross-functional teams in designing predictive models, building end-to-end AI systems, and transforming raw data into actionable insights—all while promoting best practices in software engineering and mentoring rising talent in the field.
Natalia holds a Master’s degree in Intelligent and Interactive Systems and has conducted research in computational biology at GRIB-IMIM in Barcelona, focusing on deep learning techniques for protein structure analysis and biomolecular interactions. Her ability to bridge scientific research with production-level systems has been a recurring theme throughout her career.
Previously, she served as VP of Data Science at Rollio AI, where she led product strategy and NLP model development for Salesforce-integrated chatbot solutions. Her hands-on roles across the stack—from leading blockchain antifraud projects to implementing NER systems and custom ML architectures—demonstrate her versatility and technical depth.
With roots in .NET and enterprise systems and a passion for exploring the frontiers of AI, Natalia thrives in collaborative environments where curiosity, quality, and continuous learning come first. She brings a unique blend of research acumen, engineering excellence, and leadership that makes her a trusted voice in both strategic and technical conversations.
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