B.Sc. in Physics
Universidad Nacional de Colombia
2005 — 2012
The setting changes. The questions keep coming. My path connects astronomical research, real-world intelligent systems, and the company I founded in 2025.
Physics, a master’s in astronomy, and a Ph.D.: my academic journey brought machine learning into the study of stars.
Universidad Nacional de Colombia
2005 — 2012
Universidad Nacional de Colombia
2013 — 2016
Observatório Nacional · Brasil
2017 — 2022
My doctoral work applied ensemble learning to stellar parameters in J-PLUS and S-PLUS. Alongside research, I have taught more than 850 university-level hours in mathematics and physics and presented my work at Caltech (2019) and IAG-USP (2021).
Different domains, concrete problems: student transitions, transaction fraud, multimodal ML, and recommendations. Some roles overlap in time; the dates below preserve that history.
Data Scientist
Predictive modeling for student transitions, geospatial allocation, and decision-support dashboards.
Data Scientist
Real-time fraud detection with PySpark, Scikit-learn, and TensorFlow.
Machine Learning Engineer
Multimodal ML, production inference services, and LightGBM credit risk models.
Semi-senior Data Scientist
Implementing agentic AI to improve recommendation systems. Production ML workflows with Python, Google Cloud, and CI/CD.
Data Analytics Consultant
Transaction fraud detection, ML-assisted rules, and propensity modeling for financial institutions.
In 2025 I founded Analytia S.A.S. to turn years of research and industry experience into B2B data and AI services. Today I am fully focused on taking it to the next level.
Analytia carries the same discipline behind peer-reviewed research and production AI at Mercado Libre, Mastercard, and BBVA into business projects: rigorous methods, measurable results, and models built to be used. Now the focus is clear: grow it into a trusted B2B partner.