Francisco Javier Pórtoles Marquina

Francisco Javier Pórtoles Marquina has extensive work experience in the field of data science and informatics. Francisco Javier is currently working as a Senior Data Scientist at QUANT AI Lab starting from September 2022. Prior to this, they worked at the Climate Research Foundation as the Head of Informatics, Statistics, and Data Bank Area for 15 years, from 2007 to October 2022.

In their previous roles, they worked at Jazztel as a BSS Systems Analyst, where they were responsible for requirements analysis, design, and coordination of development resources. Francisco Javier also played a key role as the Testing Coordinator for the 'Integration Test' team, managing testing environments and facilitating the deployment of new features to production. Francisco Javier was involved in various testing and development activities during their time at Jazztel.

Before Jazztel, Francisco worked at Axpe Consulting as a member of the JAZZTEL 'Live Support' team, where they managed and supported production environments and handled CRM applications. Francisco Javier also gained experience as a Software Developer at ASKIN S.A., where they designed, developed, and tested applications for Public Administration Management using the MAGIC tool and ORACLE database.

Overall, Francisco Javier Pórtoles Marquina has demonstrated a strong background in data science, informatics, and software development throughout their career.

Francisco Javier Pórtoles Marquina has an extensive education history spanning several years. Francisco Javier began their academic journey in 1986, attending the Universidad de Sevilla, where they obtained a Bachelor's degree in Physics and a Master's degree in Electronics. After this, they pursued further studies and enrolled in the Universidad Nacional de Educación a Distancia - U.N.E.D. in 2010, where they completed a postgraduate course in Advanced Methods of Applied Statistics.

In 2011, Francisco continued to expand their knowledge in statistics by taking a Course of Applied Statistics on Climatology with R at the Universidad de Zaragoza. Building on this foundation, they then pursued a Master's degree in Statistical and Computational Managing of Data at the Universidad Complutense de Madrid from 2012 to 2014.

Francisco's dedication to statistical research continued as they pursued a PhD in Statistics at the Universidad Rey Juan Carlos in 2014. Their research line focused on Machine Learning, a field that has gained significant prominence in recent years. As of now, the end year for their PhD program has not been specified.

To further enhance their expertise in the field, Francisco attended a short-term program in 2020 at the Universidad Carlos III de Madrid, specifically focusing on Deep Learning with Tensor Flow. This program allowed him to delve deeper into the realm of deep learning and expand their skill set.

Overall, Francisco Javier Pórtoles Marquina has demonstrated a persistent commitment to expanding their knowledge and skills in the field of statistics, with a particular focus on machine learning and deep learning. Their educational journey showcases their passion for continuous learning and professional development.