EDUCATION

What I studied and what I keep learning.

A mathematics foundation, plus practical training in data science, software engineering, and scientific workflows.

01 / DEGREE

Mathematical sciences

Ph.D. in Mathematical Sciences · National Autonomous University of Mexico (UNAM), 2018–2023

M.Sc. in Mathematical Engineering · Autonomous University of Querétaro (UAQ), 2013–2015

B.Sc. in Applied Mathematics · Autonomous University of Querétaro (UAQ), 2007–2011

My academic background taught me to handle complex problems, reason carefully, and communicate technical results clearly.

02 / COURSES

Recent learning.

Courses that support my current work in data, software, and machine learning.

2026

Databases and SQL for Data Science with Python

IBM / Coursera

SQL queries, relational databases, and Python-based data analysis.

2023

Data Visualization with Python

Coursera

Data visualization and communicating insights using Python.

2022

Curso completo de Machine Learning: Data Science en Python

Udemy

Machine learning fundamentals and practical data science with Python.

2022

Getting Started with Git and GitHub

Coursera

Version control, branching, merging, and collaborative software development.