Pernilla Gellerman has a diverse work experience spanning various industries and roles. Pernilla started their career at Easyfairs as a Database Administrator, where they updated and expanded the company's contact database. Pernilla then worked as a Substitute Teacher at Aspenäsenheten, where they were responsible for groups of children aged 3-11 in both educational and recreational settings.
Pernilla then took on the role of Office Assistant at SAFER Vehicle and Traffic Safety Centre at Chalmers, where they performed administrative tasks, managed project follow-ups, and updated the center's website. During their time there, they also handled certain responsibilities for a large event organized by Chalmers and Volvo Personvagnar.
Pernilla then transitioned to working as a Machine Operator at Estrella AB, where they operated machinery. After that, Pernilla worked as a Junior Project Manager at AI Sweden, where they primarily focused on mapping international and national datasets for AI-based services and organizing AI-related activities for academic and private sectors.
Moving on, they joined Volvo Cars for their Master's Thesis, where they developed a machine learning algorithm for multi-class text classification of driving log annotations. Pernilla implemented pre-processing, feature extraction, and classification techniques for this project. Pernilla then moved to Friday and Ericsson, where they worked as a Consultant and a Data Engineer respectively.
Pernilla'slatest role was at Plejd as a Data Engineer, where they worked until June 2023. Pernilla'sresponsibilities in this role are not specified. Currently, Pernilla is working as a Data Engineer/Analytics Consultant at Yellow Elk, starting in 2023.
Overall, Pernilla Gellerman has gained experience in data engineering, analytics consulting, project management, teaching, administration, and machine learning during their work experience.
Pernilla Gellerman's education history begins in 2012 when they attended Donnergymnasiet and obtained a Gymnasieexamen in Naturvetenskap in 2015. Pernilla then pursued a Bachelor of Science degree in Mechanical Engineering from Chalmers University of Technology from 2016 to 2019. Following this, they furthered their education at Chalmers University of Technology and completed a Master of Science degree in Complex Adaptive Systems, specifically in the Department of Applied Physics, from 2019 to 2022.
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