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MSc Student | Computer Engineering | University of Aarhus
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Assessing your cultural and operational fit
University of Aarhus (AU)
Data Scientist
June 29, 2026 – Present
Autonome-Agenter-og-Multiagentsystemer
September 1, 2025 – Present
Autonome-Agenter-og-Multiagentsystemer — GitHub repository
View ProjectP2-Positioning
November 1, 2024 – November 28, 2024
The focus of this project is to design, implement, test, and document a method for determining the distance between a transmitting and a receiving WIFI
View ProjectPervasiveWelfareApp
September 30, 2024 – December 13, 2024
A Pervasive Computing project focused on developing a Pig Welfare Monitoring App. The app leverages AI vision and real-time data analysis to monitor the health and well-being of pigs, ensuring optimal care and contributing to the success of the xenotransplantation research project.
View ProjectP1-Middleware-Pong
September 9, 2024 – October 25, 2024
Distributed Systems Project 1: Middleware Implementation for Pong Game
View ProjectLSTM-RNN_CNN_Comparison
January 4, 2022 – January 21, 2022
Exam project in the course "Introduction to Intelligent Systems"
View ProjectLindenmayer_Systems
November 11, 2021 – December 2, 2021
Exam project in the course "Introduction to programming and Data processing" at DTU
View ProjectNeuralNetworkTest_SGDvsADAM
November 8, 2021 – November 8, 2021
Comparison between the ADAM algorithm and SGD algorithm
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards research and academic-style problem-solving, which could align well with roles requiring deep analytical thinking. However, the lack of diverse project types beyond personal academic exercises and the absence of team-based project descriptions limit the assessment of broader cultural fit in a collaborative industry setting. The current role as 'Data Scientist' at a university aligns with the target role, but the start date being in the future (2026) suggests this is a planned or future role, not current experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.