Javier Blasco Herrera has extensive experience as a data scientist, with roles at various companies and as a freelancer. Javier started their career as a PhD student at Stockholm University, where they studied the kinematics of gas in Starburst galaxies and developed their own data processing routines. After completing their PhD, they worked as a post-doctoral researcher at the Instituto de Astrofísica de Andalucía, where they studied the evolution of isolated galaxies using Python pipelines for image processing and data analysis. Javier then joined Oxford Nanopore Technologies Ltd, initially as a Data Scientist and later as a Senior Data Scientist. In these roles, they contributed to the development of data analysis methodologies and led projects related to the company's data science initiatives. Most recently, Javier joined Infinitesima Limited as a Senior Data Scientist.
Javier Blasco Herrera completed their education in a chronological manner. Javier began their academic journey at Universidad de La Laguna, where they pursued a Bachelor of Science (BSc) degree in Physics with a focus on Astrophysics. This program lasted from 2000 to 2007. Following their undergraduate studies, Javier pursued further education at Stockholm University, where they obtained a Doctor of Philosophy (PhD) degree in Astronomy and Astrophysics. This PhD program spanned from 2007 to 2012.
In addition to their academic achievements, Javier Blasco Herrera has also obtained several certifications. Javier completed the Grid Engine Advance Administration Training course offered by Univa Corporation in June 2017. Additionally, they have received two edX Honor Code Certificates for completing online courses. One of the certificates is for the course "Learning From Data," which provides an introduction to Machine Learning. The other certificate is for the course "Scalable Machine Learning." Exact dates of completion for the edX certificates were not provided.
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