Daniel de Santos Sierra

Daniel de Santos Sierra has a diverse work experience in various roles related to data science and engineering. Most recently, they worked at zooplus as a Lead Data Scientist, starting in November 2020. Prior to that, they were a Data Scientist at zooplus from May 2019 to November 2020.

Before joining zooplus, Daniel worked at Vodafone as a Specialist Data Scientist from May 2018 to April 2019. Their responsibilities at Vodafone included creating and implementing products that provided valuable insights to the Vodafone Enterprise Business Unit. Daniel also developed predictive models with large datasets and focused on churn detection.

Daniel also has experience at Linea Directa Aseguradora as a Técnico - Big data from October 2015 to May 2018, where they focused on fraud detection using big data techniques and network/graph analysis.

Additionally, Daniel worked at Universidad Politécnica de Madrid as an Engineer in Computational Systems Biology from December 2011 to October 2015. Daniel also worked as an Engineer in the Group of Biometrics, Biosignals, and Security within the same university.

Earlier in their career, Daniel worked at Universidad Miguel Hernández de Elche as NBio, where they developed a data analysis tool for electrophysiological signals. Daniel worked on signal processing, PCA, Expectation Maximization, k-means, vector quantitation, and Bayes algorithms.

Lastly, Daniel worked at UNED as a Personal Investigador from 2009 to 2011, where they created a connection between a biological neural network and an epuck robot for guidance. Daniel also analyzed and processed electrophysiological data using Matlab and C++. Additionally, they developed analysis tools for data classification, signal processing, and image recognition.

Overall, Daniel de Santos Sierra has a strong background in data science, with expertise in predictive modeling, fraud detection, and developing data analysis tools.

Daniel de Santos Sierra earned a Doctorate in Biomedical Engineering from the Universidad Politécnica de Madrid between 2013 and 2015. Prior to that, they completed a Master's degree in Advanced Artificial Intelligence from the Universidad Nacional de Educación a Distancia (U.N.E.D.) in 2010 and 2011. Daniel also holds a Bachelor's degree in Computer Engineering from the Universidad Complutense de Madrid, which they obtained between 2004 and 2009. In addition to their formal education, Daniel has obtained various certifications, including a Certified ScrumMaster (CSM) certification from Scrum Alliance in December 2019.