Laura Rodríguez-Navas

Laura Rodríguez-Navas

Data Engineer at Universitat Oberta de Catalunya (UOC).

Laura Rodríguez-Navas Academic Personal Website

She holds a Master’s degree in Artificial Intelligence from Universidad Internacional Menéndez Pelayo (UIMP, 2022) and a Bachelor’s degree in Computer Science from Universitat Politècnica de Catalunya (UPC, 2017). She is a Data Engineer in the Data Office Department at Universitat Oberta de Catalunya (UOC), where her work focuses on data engineering, analytics, and building interoperable tools and models for the DS4Skills project, contributing to the creation of a trusted European Data Space for Skills. Her main research interests include data engineering, applied artificial intelligence, data analytics, and the development of interoperable tools and infrastructures for skills and education data.

Current positions

  • Data Engineer at the Data Office Department, Universitat Oberta de Catalunya (UOC).

Education

  1. M.Sc. Artificial Intelligence, Universidad Internacional Menéndez Pelayo (UIMP), Madrid, Spain (2022). Graduated with honours in NLP.
  2. B.Sc. Computer Science, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain (2017)

Past positions

  • Data Scientist, BETA Technological Center (2024-2025)
  • Python Data Science Teacher, Universitat de Vic – Universitat Central de Catalunya (UVic-UCC) (Jan–Jun 2024)
  • Research Assistant, Universitat Oberta de Catalunya (UOC) (2023-2024)
  • Research Engineer, Barcelona Supercomputing Center (BSC) (2019-2023)
  • Research Assistant, Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) (2017-2019)
  • Software Developer / Sysadmin, Universitat Politècnica de Catalunya (UPC) (2016-2017)
  • Teacher Assistant, Universitat Pompeu Fabra (UPF) (Sep–Dec 2016)
  • Software Developer, VENCA (2015)

Research & Interests

Her main professional interests include data engineering, applied artificial intelligence, and data analytics, with a focus on developing interoperable tools and infrastructures for skills and education data. She is enthusiastic, motivated, and autonomous, with experience and skills in:

  • Artificial Intelligence & Machine Learning
  • Data Science & Exploratory Data Analysis
  • Graph Theory & Time-Series Analysis