2025

Juan graduated as the best physics student in Spain in 2009. Struggling to choose between a Ph.D. in
computational physics at Edinburgh University and a Master’s in filmmaking, he did both. He then went off to win multiple awards in both fields and combined all his skills in data teaching, particularly in Data Storytelling. He is the perfect combination of knowledge, storytelling and lame jokes. Isn’t that Juanderful?

Lucy spent 3 years as a teacher of mathematics before becoming a credit risk analyst, learning all about using data science in risk. She never forgot teaching however, always spending time building new training and courses for her colleagues to upskill as quickly as possible. In 2018 she jumped at the chance to combine her coding and data skills with teaching by become a data science educator.

Sander is a passionate machine learning engineer who loves to build scalable data and machine learning systems. He has extensive experience in creating ML solutions (both, on-premise and in the cloud). Besides, he developed and gave trainings for MLOps. Finally, he has conducted various academic research in the medical domain, which he presented at multiple conferences (BNAIC, ICHMS).

Pádraic has worked across several industries in roles including data analysis, Business Intelligence development and data engineering. He currently works as an Analytics Engineer at Xebia Data, a Data and AI consultancy based in Amsterdam where he helps clients deploy data platforms, onboard business use cases and upskill internal employee’s data literacy.