Summary
Natalie Olivo is an Artificial Intelligence Engineer with over a decade of professional experience and nine years in data-focused roles, blending actuarial rigor with practical ML engineering. She has led data and ML initiatives across insurance, government, and defense clients—shipping production ML features, automated extraction pipelines, and large-scale knowledge-graph population systems. Comfortable with the full ML lifecycle, she builds repeatable CI/CD patterns, cloud-deployed microservices, and distributed data pipelines (PySpark, AWS, Docker, FastAPI) that drive measurable operational impact. Natalie pairs applied mathematics and data science training with a knack for turning messy, high-volume data into actionable insights, and she regularly evangelizes new use cases and best practices within teams. Based in Alicante, Spain, she brings a consultative, detail-oriented approach and a track record of delivering award-winning, production-ready solutions for both public and private sector stakeholders.
9 years of coding experience
5 years of employment as a software developer
Data Science Full-Time Immersive, Python, SQL, Natural Language Processing, Machine Learning, Neural Networks, Data Science Full-Time Immersive, Python, SQL, Natural Language Processing, Machine Learning, Neural Networks at General Assembly
Bachelor of Science, Actuarial Science; Business Foundations, Bachelor of Science, Actuarial Science; Business Foundations at Ball State University