I'm Iván Gómez, a Data Scientist in industrial processes and a Ph.D. candidate in Data Science and Artificial Intelligence at the University of Zaragoza. My background combines professional experience and academic training, focusing on the application of artificial intelligence to develop innovative solutions and tackle technological challenges.
April 2025 - Present
July 2022 - April 2025
Development of data science systems, including pipelines and AI models integrated into industrial control environments.
September 2024 - Present
PhD Project: In TrafficDator, our goal is to develop Artificial Intelligence-based methodologies for short- and long-term traffic prediction. To achieve this, we integrate a variety of data sources and apply advanced Machine Learning and Deep Learning models, optimizing accuracy and efficiency in estimating traffic flow.
October 2022 - June 2024
September 2018 - June 2022
Erasmus: SAMK (Finland)
Advanced Prediction of Traffic at Different Temporal Scales Using Heterogeneous Data Sources
IEEE Open Journal of Intelligent Transportation Systems · Nov 27, 2025
Enriched traffic datasets for the city of Madrid
Data in Brief · Aug 31, 2024
Innovaciones en la Gestión del Tráfico Urbano Utilizando Fuentes de Datos Heterogéneas e IA
Jornada de Jóvenes Investigadores del I3A · 17 jul. 2024
Python, SQL
PyTorch, TensorFlow, Scikit-learn, OpenCV, Pandas, NumPy
LLM APIs, semantic embeddings, LangChain
SQL (MariaDB, SQL Server, MySQL), NoSQL (MongoDB)
Power BI, AWS (Quick Suite, RDS)
Docker, GitHub, Visual Studio Code
Machine Expert, Control Expert, Video Designer, System Platform
Spanish: Native
English: B2 (First Certificate - Cambridge)