Talk Abstract: Slow burning, ground breaking and blockbuster data applications at the BBC. Optimising demand and resources for data science, data engineering and analytics products in a large organisation.
Bio: Clara Higuera Cabañes graduated in Computer Science from the Complutense University in Madrid, afterwards she carried out her PhD in Artificial Intelligence and Bioinformatics. Her thesis was focused on the application of machine learning methods for the study of metabolism. During her PhD she carried out research stays in US and Sweden and published several papers in international journals. After her PhD she became interested in Data Science in industry and worked for a while in a start up on line newspaper in Spain. Now she works at BBC as data scientist applying the techniques she learnt during her PhD to help better understand BBC audiences, make decisions based on data and build data products.