WPP
2025—presentData Scientist, Global Functions
I design machine learning systems for complex enterprise data: procurement classification, standardized analytics, supplier entity resolution and master data management.
CURRICULUM VITAE / NOVEMBER 2026
AI Researcher · Data Scientist · Independent Builder
Madrid, Spain · dcabezas@tsc.uc3m.es
I design machine learning systems for complex enterprise data: procurement classification, standardized analytics, supplier entity resolution and master data management.
In the Signal Processing Group, I investigate attention mechanisms, probabilistic models and deep learning for time series, alongside my PhD in Artificial Intelligence.
I developed and deployed deep learning models for financial forecasting, connecting time-series modeling with operational planning.
I worked on data engineering and business intelligence, including projects for pharmaceutical clients. This was the foundation for my move into applied machine learning.
In progress · expected 2027
2025
2024
NeurIPS · Coauthor · fourth author
Publication ↗IEEE Open Journal of Intelligent Transportation Systems · First author
Publication ↗Spanish Journal of Psychiatry and Mental Health · First author
Publication ↗Attention mechanisms, transformers, probabilistic and generative modeling, representation learning, time-series forecasting, classification, entity resolution, model evaluation and production ML engineering.
Python · PyTorch · Hugging Face · SQL · Databricks
Quickie · Independently developed iOS personal finance app · Launch in preparation.
Academic Excellence Scholarship · Comunidad de Madrid · 2022 · Top 3%.
Spanish: Native · English: Fluent.