Ariel Ortiz Beltrán

Institutional analytics · Learning design · Human-centered technology

Ariel Ortiz Beltrán, Ph.D. Leer los datos.
Cuidar lo humano.

I study how learning environments shape student experience, and I build data and machine-learning systems that make complex decisions easier.

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Postdoctoral Researcher · Universitat Pompeu Fabra · Barcelona

01

Research

Course design, student engagement, workload, and academic outcomes.

02

Build

Data platforms, machine-learning systems, and visual tools.

03

Serve

Teaching, community work, and technology centered on the people who use it.

01 / Work

Selected projects

A selection from more than eight years in software engineering, data architecture, machine learning, and applied research.

Product architecture · Grupo Bernier

AnniQ — AutoML platform

I designed the first version of a cloud platform that allowed non-technical teams to build machine-learning pipelines—from data ingestion to model deployment—without writing code.

Role
Architect & Tech Lead
Focus
End-to-end ML workflows
Stack
Python · Cloud · AutoML

Computer vision · Ecopetrol

Submarine pipeline inspection

A real-time computer-vision system using convolutional neural networks to detect anomalies in submarine pipeline video.

1st place · Innovate 2019

Data architecture · DataKnow

Cloud data architectures

At DataKnow, I designed analytics and forecasting architectures on AWS and Azure, covering ETL, data modeling, deployment, and maintenance.

AWSAzureETLForecasting

Guest analytics · Movich Hotels

Guest analytics for Movich Hotels

At Grupo Bernier, I built machine-learning models and Tableau dashboards to analyze booking behavior for one of Colombia’s largest hotel chains.

02 / Research

Learning design & institutional analytics

I study relationships between course design, LMS use, student workload, and academic outcomes. More recently, I have explored how large language models can support the analysis of educational data.

ORCID 0000-0003-1522-2362

Current question

What can institutions learn from educational data—and what can the data not tell us?
Institutional Analytics Learning Design Learning Analytics Large Language Models

Publications

Open an entry for authors and links.

03 / About

Background

I’m from Bogotá and live in Barcelona. My work has moved between software engineering, data science, higher education, and learning design.

Eight years in industry taught me to build for real constraints and real users. Academia taught me to ask slower questions. I try to hold both habits together—and to treat technology as a form of service.

Formation

  1. 2025
    Ph.D. in Information and Communication Technologies

    Universitat Pompeu Fabra

  2. 2020
    Deep Learning Specialization & DS4A

    Deeplearning.AI · Correlation One & MinTIC Colombia

  3. 2015
    M.A. in Multimedia Creation & Serious Games

    Universitat Ramon Llull · Fundación Carolina scholarship

  4. 2012
    B.Sc. in Systems Engineering

    Universidad Nacional de Colombia

Selected recognition

1st PlaceEcopetrol Innovate 2019 · Computer Vision

Top 5 ProjectData Science for All 2020 · 92 teams

PlaCLIK GrantGamification-based programming pedagogy

Teaching nominationReloj Solar · Universidad Autónoma de Bucaramanga

04 / Teaching

Teaching & community

I have taught in universities, online courses, and open workshops. My classes often use games and practical challenges to make algorithms and machine learning easier to enter without simplifying the subject.

2026

Guest Professor

ELISAVA · Master in Human Interaction and AI

Design and prototyping of ML and neural networks
2021–26

Instructor

Universitat Pompeu Fabra

Data Structures and Algorithms for ICT programs
2015–19

Associate Professor & Researcher

Universidad Autónoma de Bucaramanga

Algorithms, UX, and Systems Engineering curriculum redesign
Online

Instructor

Platzi

Machine Learning with Scikit-learn

Community initiatives

Escuela Latinoamericana de Inteligencia Artificial

A free weekly space for conversations about AI, machine learning, and data science across Latin America.

LinkedIn

Engega’t — Gamified Job Insertion

Gamification design for a municipal job-insertion program for young people in Catalonia.

Press

Locademia de Teología

A Latin American space for open and alternative theological conversation.

Visit

05 / Contact

Get in touch

If you are working on learning analytics, education, technology that serves people, or a problem that crosses disciplines, I would be glad to hear from you.

Emailgnulion@gmail.com LinkedInin/arielortiz ORCID0000-0003-1522-2362