David Sandstrom has the following work experience:
1. Data Science Developer at Invisible Bits, starting from 2021.
2. PJAS, Full stack developer at CERN from September 2020 to January 2021.
3. Final Degree Project, Computer Science Engineering at UPV/EHU from January 2020 to July 2020. The project involved implementing convolutional neural networks for semantic labeling in the natural language understanding component of a virtual assistant for the EMPATHIC European project.
4. Practicum Student at Bosonit from February 2020 to March 2020. The role involved exploring computer vision techniques applied to document classification and utilizing machine learning technologies.
5. Practicum Student at 1&1 Mail & Media Applications SE - WEB.DE | GMX | 1&1 | mail.com from June 2019 to July 2019. The role included exploring machine learning use cases in a Docker environment and assessing machine learning use cases for business intelligence modeling.
David Sandstrom has a strong educational background in the field of computer science and engineering. From 2016 to 2020, they attended the Universidad del País Vasco/Euskal Herriko Unibertsitatea, where they pursued a degree in Computer Science Engineering. During this time, their studies focused on areas such as Artificial Intelligence, Machine Learning, and Computing.
Following their undergraduate studies, in 2021, David enrolled in the Universidad Complutense de Madrid to pursue a Master's degree in Big Data and Business Analytics. This program is centered around the field of Informatics Engineering, with a particular focus on Big Data and Business Analytics.
Additionally, in November 2020, David obtained the AWS Certified Cloud Practitioner certification from Amazon Web Services (AWS), which signifies their knowledge and skills in cloud computing.
Based on the provided information, it can be inferred that David Sandstrom is dedicated to expanding their expertise and staying up-to-date with the latest advancements in the technology industry.
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