Ivar Thokle Hovden

Data Scientist

https://talent.gravityer.com/ivar-thokle-hovden

Engineering Cybernetics and Data Science

OUS / UIO / NTNU / KIT

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like "IN9400_exercises" and "epi_corrections".
Experience with various programming languages relevant to data science, including Python, C++, and Matlab.
Familiarity with Jupyter Notebooks for data analysis and presentation.
Current role as 'Data Scientist' at OUS / UIO / NTNU / KIT indicates direct role alignment, though no start date is provided.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, indicating a strong drive for self-learning and exploration in technical fields. The diversity of technologies (C++, Python, Scala, Matlab, Fortran, JavaScript) suggests adaptability and a broad technical curiosity. However, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a professional team setting. The current role as 'Data Scientist' aligns well with the target role, but without further details on responsibilities or team interaction, cultural fit remains largely unassessed.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

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Projects

nevron-handle

July 8, 2025 – November 20, 2025

Tools to handle Nevron OpenStack cluster

View Project

himlarext

April 7, 2024 – October 15, 2025

himlarext — GitHub repository

View Project

cancer-sim-viz

February 11, 2021 – May 25, 2021

Visualizing output from cancer-sim and cancer-sim-search by leveraging the power of WebGL

View Project

cancer-sim

September 23, 2020 – April 30, 2022

Simulating displacement of tissue in the brain caused by tumor growth or treatment

View Project

learning_c_cpp

March 1, 2020 – March 2, 2020

My collection of useful code snippets when learning/refreshing C/C++ based on various toturials and own experience

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IN9400_exercises

January 23, 2019 – June 3, 2019

Exercises and solutions from the course "Machine Learning for Image Analysis" - IN9400 (PhD version) / IN5400 (MSc version)

View Project

epi_corrections

November 5, 2018 – October 15, 2023

Pipeline for correction of magnetic susceptibility induced geometric and intensity artefacts in Dynamic Susceptibility Contrast (DSC) Echo-Planar Imaging (EPI) Magnetic Resonance Imaging (MRI) images. The correction methods used are FSL TOPUP and EPIC

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Time-Frequency-Analysis

September 25, 2017 – September 25, 2017

Jupyter Notebook presenting some methods

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SHODAN

November 12, 2016 – August 9, 2019

sentient hyper optimized data access network

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DMRM

June 25, 2016 – July 11, 2016

Slides, example data and RapidMiner projects revolving the topic Data Mining.

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like "IN9400_exercises" and "epi_corrections".
Experience with various programming languages relevant to data science, including Python, C++, and Matlab.
Familiarity with Jupyter Notebooks for data analysis and presentation.
Current role as 'Data Scientist' at OUS / UIO / NTNU / KIT indicates direct role alignment, though no start date is provided.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Ivar Thokle Hovden

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit