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Professor in Geomatics @NMBURobotics
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Assessing your cultural and operational fit
NMBU
Data Scientist
June 21, 2026 – Present
nrf_cloud_multi_service
June 9, 2025 – Present
nrf_cloud_multi_service — GitHub repository
View Projectbacchus_lcas
July 8, 2020 – August 11, 2023
A repository for contributions to the BACCHUS H2020 project
View Projectgazebo-contactMonitor
January 16, 2019 – February 13, 2020
Monitors collisions in gazebo and publishes their timestamp in a ROS topic
View Projectbayestracking
August 12, 2013 – October 16, 2019
C++ framework for Bayesian Filter Tracking (UKF, EKF, Particles)
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on robotics, C++, and embedded systems, which may not directly align with a typical 'Data Scientist' role unless the role has a strong component in robotics, real-time data processing, or specific scientific computing. While there are Python and Jupyter Notebook projects, the overall portfolio leans away from traditional data science areas like machine learning, statistical modeling, or big data platforms. The single listed experience as 'Data Scientist' at NMBU is current but lacks details on responsibilities or achievements, making it difficult to assess direct cultural fit for a broader data science role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration. The English test score is also 0, offering no information on communication clarity or professional language usage.