About me
I’m a Data Scientist and Ph.D. graduate in Statistics from Rice University under the direction of Dr. Marina Vannucci. My work focuses on Bayesian modeling for multivariate and count data, with applications in healthcare, sports, and social science.
I’m currently a Data Scientist at Amazon, where I generate analytics and uncover actionable insights for the Speed Transportation Analytics team
When I am not immersed in data and research, I love soccer –watching or playing– as well as exploring new places and taking pictures. Check out some of my travel photos here.
Research Interests
- Bayesian Modeling
- Machine Learning
- AI
- Graphical Models
My latest projects involve developing frameworks for estimating graphical models that identify relationships or dependencies between different mixed data types.
A list of projects can be found here.
Education
I completed my undergraduate studies in Bogotá, Colombia, earning a BS in Mathematics from Universidad Sergio Arboleda with a tuition waiver scholarship. I also hold a BS in Statistics from Universidad Nacional de Colombia, where I graduated first in my class. I recently completed a PhD in Statistics at Rice University, where my research focused on Bayesian modeling for complex multivariate and count data.
Professional Experience
Amazon | 2025 - Present
Data Scientist - Speed Analytics
Amazon | Summer 2025
Data Scientist Intern - Community Operations
Rice University | 2020 - 2025
Graduate Research Assistant
Minciencias | 2019 - 2020
Data Scientist
Universidad del Rosario | 2017 - 2018
Data Analyst
Lecturer
See the full list of courses here.