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Josefin Winberg has a diverse work experience spanning multiple industries. Josefin started their career as a Sales and Marketing Assistant at H&M in 2012 and then worked as a Customer Service representative at IKEA Group in the same year. In 2016, Josefin joined Albert AB, a SaaS startup, where they served as a Content Manager and also worked on transforming mathematics tutoring through an AI-enabled app.

In 2017, they joined NTT Ltd. as a Research Engineer and later as a Data Scientist in the R&D department. Josefin'srole involved building machine learning models and neural networks to improve threat detection in the company's production environment.

From 2020 to 2021, they worked at Knowit in multiple roles. As a Data Scientist, their responsibilities included data preparation and analysis in an AWS environment. Josefin also worked as a Data Scientist at Wireless Car, where they focused on data preparation and analysis in an AWS environment. Additionally, they served as a Coordinator in the Inspirit female network and as a BI/ML Consultant in the Data Warehouse team at NA-KD, where they built SQL models and Tableau reports.

Recently, Josefin has been working at Egmont Publishing AB as a Senior Data Scientist, leading data analysis in a GCP environment for various portfolio companies. Josefin specializes in building advanced analysis using Looker and creating data warehouses with SQL in DBT.

Currently, they hold the position of Data Scientist & Data Engineer at Sleep Cycle, starting from 2023. Further details regarding this role are not provided.

Josefin Winberg has a diverse and well-rounded education history. Josefin started their education journey at Ale gymnasium where they completed their Gymnasieekonom degree in IT and Economy from 2009 to 2012.

After completing their high school education, Josefin pursued further studies at Chalmers University of Technology from 2014 to 2016. During this time, they focused on Physics and Math, further expanding their knowledge in these fields.

In 2017, Josefin embarked on a new educational path and enrolled at Udacity where they studied Data Science for a year, until 2018. This program likely provided their with a comprehensive understanding of data analysis and interpretation.

In addition to their formal education, Josefin has also obtained various certifications that have further enhanced their skill set. In 2017, they completed the Machine Learning CS229 course from Stanford University, indicating their proficiency in this domain. In 2018, they obtained a certification in Deep Learning from Andrew Ng at deeplearning.ai. Josefin also obtained certifications in Spatial Data Science from Esri, with the course "Going Places with Spatial Analysis" in 2020 and "Spatial Data Science: The New Frontier in Analytics" in the same year. Lastly, they completed a Big Data Specialization from UC San Diego in 2017, showcasing their knowledge in handling and analyzing large datasets.

Overall, Josefin Winberg has a solid educational background with a focus on IT, economy, physics, math, data science, machine learning, deep learning, and spatial data science.