Welcome to my personal blog!

Hello there! I am a Data Scientist with over 9 years of broad-based experience in data analysis, machine learning, and statistical modeling. In recent years, I worked in mobility, finance, marketing, consulting, and IT. For the first four years, I worked as an engineer in data-related jobs for the Oil & Gas, Retail, and Supply Chain Management industries. I have successfully coded various Applied Math techniques, including ML and AI models, to solve real-life problems. Skilled in leveraging large, complex data sets to uncover patterns, trends, and insights to drive business decisions. Proficient python coder. I am deeply interested in solving the world’s most pressing problems in which my T-shaped skills could unlock tremendous value. Proven track record of successfully developing and deploying high-performance data-driven solutions.

I am currently working at AHOY on the intersection of Operation Research and Machine Learning to solve combinatorial optimization problems related to mobility.

Since 2011, I have been solving problems with applied math techniques in a wide range of industries:

I majored in Chemical Engineering (Check my graduate project here! (Spanish)) with a minor in Applied Math at the Universidad de los Andes in Bogotá, Colombia. I also did a Master in Chemical Engineering at the same University (Check my thesis here! (Spanish)) I worked as a Process Engineer for about 4 years, and then I made a career change as a full-time Data Scientist.