Story
I grew up in Bogotá and went to school at the Colegio de la Enseñanza. In 2016 I spent a semester at Hillcrest High School in Ottawa, finished the Ontario Secondary School Diploma there, and came back with the English I still work in every day.
I studied industrial engineering at Universidad de los Andes, which at Uniandes means a quantitative degree: operations research, statistics, production and logistics, with a minor in International Studies on the side. I liked the modelling courses enough to become a teaching assistant for Principles of Optimization and Finance, writing the official assignment solutions in Xpress-Mosel and building the grading tools. In 2020 I joined the INVIAS bridge-management research project as a research assistant and wrote my thesis on it: a multi-criteria mixed-integer model for planning interventions on about 1,500 national bridges, in gurobipy. The B.Sc. was conferred in April 2021, cum laude.
I had begun graduate courses in 2019, so the master's followed directly: a thesis-based M.Sc. in Industrial Engineering with a concentration in operations research and applied statistics, conferred in April 2023, also cum laude. The thesis was a self-controlled case series on 55,114 HPV-vaccinated girls, estimated with conditional Poisson regression on public data. In parallel I was the teaching assistant of the optimization course of the Master in Data Analytics Intelligence (MIAD) on Coursera, with its first cohort in August 2021.
The work since then has been one move, repeated: take a model and turn it into a system people use. Credit-scoring models at Banco de Bogotá, with explanations and stability checks the risk team could read. A star-schema risk warehouse and, with a colleague, a versioned platform of Shiny apps and APIs at Colombia's central counterparty, with automated risk back-testing. The data platform of LifeOne, a Central American assistance company, built end to end on AWS for a three-person team I built and lead (two data engineers hired). And, with Alejandro Palacio, the maintenance and extension of a pipeline that turns about 3.8 million smart-card validations a day into origin–destination matrices for Bogotá's bus network, for TRANSMILENIO S.A.
Since February 2026 I live in Berlin, looking for a hands-on data engineering or data science role in a larger team, where I can adopt its stack and go deeper technically than a team of three allows. My German is at a B2 course after a Goethe A2 certificate in November 2025; my working language has been English for five years.