ES
Joan Llop Cabo

Joan Llop Cabo

Communications Manager
LinkedIn
Joan holds an Audiovisual Communications Degree and a Master’s Degree in Data Driven Journalism. He has worked as editor in spanish media, and he is currently specializing in data visualization, design and front-end. He is passionate about trains and maps and is particularly interested in urban data, climate action and research in social good.

Articles

21/09/2023
The Riddle of the Lancaster House: a hands-on exercise with Mercury-Reels
07/09/2023
Designing strategies to cope with classification problems: a Quick Study
07/07/2023
Let the trees do the work: Hands-on optimal document search with Mercury-Settrie
19/06/2023
Mercury-Robust: ensuring the reliability of our ML models
07/06/2023
Four initiatives to drive innovation at AI Factory
24/05/2023
Mercury-Monitoring: analytical components for monitoring ML models
28/04/2023
Money talks: How AI models help us classify our expenses and income
26/01/2023
Mercury: Scaling Data Science reusability at BBVA
08/11/2022
How to attract and keep talent in Data?
14/09/2022
About Program X and why we have been awarded for this initiative
01/08/2022
How to tag data faster using Active Learning
15/03/2022
Balancing the weight of variables in a decision tree
10/11/2021
Teaching machines to assist BBVA financial advisors
30/06/2021
Who will validate my model? How to apply peer review to Data Science projects
25/03/2021
Applying Transfer Learning to Natural Language models
02/02/2021
From BBVA Data & Analytics to BBVA AI Factory
27/11/2020
Detecting balance anomalies with uncertainty models
05/08/2020
Explaining the reliability of algorithms to humans
20/03/2020
Diversity and inclusion as a policy decision
21/02/2019
The best events for a traveling data scientist
23/11/2018
The Best Online Courses for Data Scientists
13/09/2018
Improving Predictions in Deep Learning by Modelling Uncertainty