Summary
David Paule is a senior data scientist and engineer with 12 years of experience bridging academic research and industry-grade ML systems, currently building data products at Job&Talent from Barcelona. He holds a PhD in Computing Science from the University of Glasgow, where his thesis developed novel methods for fine-grained geolocation of non-geotagged tweets—work that blends information retrieval, metadata modeling, and practical applications of geolocated data. Comfortable in both research and production environments, he has a background spanning Python/Django backend engineering, urban data research, and tutoring, which informs a pragmatic approach to designing robust pipelines and interpretable models. Known for turning noisy social data into actionable signals, he combines theoretical rigor with hands-on engineering to deliver scalable solutions.
12 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy (PhD), Doctor of Philosophy (PhD) at The University of Glasgow
Bachelor's Degree, Bachelor's Degree at Universidad de La Laguna
English, spanish, native