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Data Enthusiast | Exploring the Future with AI and Data
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I am a technology enthusiast with a strong interest in innovations in artificial intelligence, data, renewable energy, robotics, biotechnology and quantum computing. I am passionate about anything that drives technological progress and new business trends. In my professional experience, most of my interests revolve around working with data: from analysis and data management to the value derived from it and its impact as a driver of machine learning and artificial intelligence models.
Inttelmex IT
Technical Diploma in Web Integrity
January 1, 2016 – January 1, 2016
USP - Universidade de São Paulo
Biosystems Engineering, International Student
January 1, 2014 – January 1, 2014
Instituto Politécnico Nacional
Bionic Engineer (intern)
January 1, 2009 – January 1, 2015
Thermy.AI
Founder
November 1, 2025 – Present
Freelance
Data Analyst
February 1, 2020 – Present
Thermy
Machine Learning Developer
October 1, 2016 – January 1, 2020
Thermy
Founder
June 1, 2015 – Present
CTIN Centro de Tecnología e Innovación
Scholarship
April 1, 2015 – June 1, 2016
Everbots
Co-Founder
August 1, 2014 – December 1, 2016
Mexico City, Mexico
Natural Language Processing with Classification and Vector Spaces
DeepLearning.AI
June 24, 2026 – Present
NoSQL, Big Data, and Spark Foundations Specialization
IBM
June 24, 2026 – Present
Microsoft Azure Cosmos DB
Microsoft
June 24, 2026 – Present
Data Science Foundations Specialization
IBM
June 24, 2026 – Present
Data Engineering Foundations Specialization
IBM
June 24, 2026 – Present
Technical Support Fundamentals
June 24, 2026 – Present
Microsoft Azure SQL
Microsoft
June 24, 2026 – Present
Apache Spark (TM) SQL for Data Analysts
Databricks
June 24, 2026 – Present
Microsoft Azure for Data Engineering
Microsoft
June 24, 2026 – Present
SQL for Data Science
University of California, Davis
June 24, 2026 – Present
Explore Core Data Concepts in Microsoft Azure
Microsoft
June 24, 2026 – Present
Natural Language Processing with Probabilistic Models
DeepLearning.AI
June 24, 2026 – Present
The Bits and Bytes of Computer Networking
June 24, 2026 – Present
AI for Medical Prognosis
DeepLearning.AI
June 24, 2026 – Present
IBM AI Engineering Professional Certificate
IBM
June 24, 2026 – Present
Understanding and Visualizing Data with Python
University of Michigan
June 24, 2026 – Present
Mathematics for Machine Learning: Linear Algebra
Imperial College London
June 24, 2026 – Present
AI for Medical Diagnosis
DeepLearning.AI
June 24, 2026 – Present
Deep Learning Specialization
DeepLearning.AI
June 24, 2026 – Present
Programador (orientado a objetos)
Capacítate para el Empleo
June 24, 2026 – Present
Português para Estrangeiros
USP - Universidade de São Paulo
June 24, 2026 – Present
Data Visualization
University of Illinois Urbana-Champaign
June 24, 2026 – Present
Neural Networks for Machine Learning
University of Toronto
June 24, 2026 – Present
Machine Learning
Stanford University
June 24, 2026 – Present
Using Python to Interact with the Operating System
June 24, 2026 – Present
Introduction to Machine Learning in Production
DeepLearning.AI
June 24, 2026 – Present
Data Analyst Professional Certificate
IBM
June 24, 2026 – Present
Applied Machine Learning in Python
University of Michigan
June 24, 2026 – Present
Introduction to Git and GitHub
June 24, 2026 – Present
Getting Started with Git and GitHub
IBM
June 24, 2026 – Present
Software Engineering Essentials
IBM
June 24, 2026 – Present
DevOps, Cloud, and Agile Foundations Specialization
IBM
June 24, 2026 – Present
AWS Cloud Technical Essentials
Amazon Web Services (AWS)
June 24, 2026 – Present
Introduction to Data Science in Python
University of Michigan
June 24, 2026 – Present
Exploratory Data Analysis for Machine Learning
IBM
June 24, 2026 – Present
Supervised Machine Learning: Regression and Classification
Stanford University
June 24, 2026 – Present
Applied Text Mining in Python
University of Michigan
June 24, 2026 – Present
Algorithmic Toolbox
UC San Diego
June 24, 2026 – Present
IBM Data Warehouse Engineer Professional Certificate
IBM
June 24, 2026 – Present
Modern Data Warehouse Analytics in Microsoft Azure
Microsoft
June 24, 2026 – Present
Crash Course on Python
June 24, 2026 – Present
Desarrollo de Aplicaciones Web: Conceptos Básicos
The University of New Mexico
June 24, 2026 – Present
Scientific Computing with Python
freeCodeCamp
June 24, 2026 – Present
Google Cloud Fundamentals: Core Infrastructure
June 24, 2026 – Present
Google Cloud Big Data and Machine Learning Fundamentals
June 24, 2026 – Present
Comunicación, Trabajo en equipo y Liderazgo
Fundación Educación Superior-Empresa
June 24, 2026 – Present
Data Wrangling, Analysis and AB Testing with SQL
University of California, Davis
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background shows a strong inclination towards innovation, open-source initiatives (Thermy.AI), and social impact projects (Aldea Digital 2015). Their entrepreneurial journey and focus on ethical and transparent AI align with a culture that values innovation, autonomy, and purpose-driven work. The diversity of roles from Data Analyst to Machine Learning Developer and Founder indicates adaptability and a broad interest in the data and AI ecosystem. The target role of Data Analyst aligns well with their core skills and recent freelance experience.
Soft Skills & Operational Fit
The candidate's experience as a founder and co-founder, along with descriptions of collaborating in design and development, suggests strong initiative, problem-solving, and leadership potential. The role as an instructor for Machine Learning and Data Science Fundamentals indicates good communication and mentoring skills. The description of applying methodologies like Creative Problem Solving, Design Thinking, and Lean Startup points to an agile and innovative mindset. However, without specific psychometric test results, a deeper assessment of work attitude, stress handling, and team collaboration is not possible.