Sebastián Zambrano is a data specialist with nine years of experience applying data science, machine learning and automation to optimize processes and resources, currently working at SONDA and teaching data analytics and ML at Universidad Santo Tomás. He has led data science teams and MLOps initiatives (including Prefect and MLflow adoption) to industrialize models and orchestrate batch pipelines, alongside a solid backend and automation background from roles building APIs, Airflow DAGs and RPA scripts. His training combines a Master in Data Science with diplomas in generative AI and advanced statistics, enabling him to bridge rigorous research methods with pragmatic production solutions. Known for thriving under pressure, Sebastián pairs technical leadership with hands-on implementation—from feature engineering and clustering to monitoring model lifecycles—while fostering cross-functional collaboration. An often-overlooked strength is his blend of finance and compliance experience, which informs robust risk-aware analytics for business settings.
9 years of coding experience
5 years of employment as a software developer
Ingeniero en Administración de Empresas mención Finanzas, Ingeniero en Administración de Empresas mención Finanzas at INACAP
Diplomado de IA Generativa y Modelos de Lenguaje, Diplomado de IA Generativa y Modelos de Lenguaje at Centro Nacional de Inteligencia Artificial
Diplomado Inteligencia de Negocios, Diplomado Inteligencia de Negocios at Universidad de Chile
Bootcamp: Fundamentos de Data Science, Bootcamp: Fundamentos de Data Science at Desafío Latam
Magister en Ciencia de Datos, Magister en Ciencia de Datos at Pontificia Universidad Católica de Chile
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.