Nicklas Bekkevold

Data Scientist

https://talent.gravityer.com/nicklas-bekkevold

Head Engineer at the Norwegian Institute of Public Health. M.Sc. Computer Science at NTNU with specialization in Artificial Intelligence.

folkehelseinstituttet

Key Strengths

Demonstrated experience with Python for data-related tasks (web scraping, data processing, object detection).
Familiarity with Jupyter Notebooks, indicating experience in data exploration and analysis.
Experience with bio-inspired AI and genetic algorithms, relevant for optimization problems in data science.
Exposure to LiDAR data processing for object detection, showing practical application of machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, demonstrating initiative and a passion for learning. The diversity of projects, including web scraping, optimization, and object detection, suggests adaptability. However, the current experience as a Data Scientist is listed as starting in the future (2026), which makes it difficult to assess real-world professional cultural fit based on current employment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available.

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Projects

homelab

September 12, 2025 – Present

Self-hosted services

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bumle-service-event-scraper-cron

March 19, 2025 – March 19, 2025

Python-based script for periodically fetching information about cultural events in Norway from various sources using web scraping and API integrations

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website

December 10, 2024 – Present

Personal website

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fullstack-spring-react-demo

June 26, 2024 – Present

Fullstack RESTful API Spring Boot with React.js frontend

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ssbgrid

January 12, 2023 – April 14, 2023

Bidirectional SSB grid – UTM-33 converter for Python

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gecco-2023-ambulance-allocation

December 18, 2022 – April 7, 2023

Code for our paper on simulated ambulance allocation optimiziation presented at GECCO 2023

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selenium-template

November 13, 2022 – January 5, 2023

Selenium template repository using TestNG, Allure and logback

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lidar-object-detection

October 16, 2021 – May 31, 2022

Object detection on short LiDAR videos from buses in Trondheim, Norway. This was a part of the course TDT17 - Visual Intelligence at NTNU autumn 2021.

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MDVRP

February 14, 2021 – March 25, 2021

Solving the Multi Depot Vehicle Routing Problem (MDVRP) using a Genetic Algorithm (GA). This was a part of the course IT3708 - Bio-Inspired Artificial Intelligence at NTNU spring 2021.

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IT3708---Bio-Inspired-Artificial-Intelligence

January 18, 2021 – May 16, 2021

Genetic Algorithms for Feature Selection, solving a variant of the Multi-Depot Vehicle Routing Problem (MDVRP), and image segmentation with a Multiobjective Evolutionary Algorithm (MOEA).

View Project

Key Strengths

Demonstrated experience with Python for data-related tasks (web scraping, data processing, object detection).
Familiarity with Jupyter Notebooks, indicating experience in data exploration and analysis.
Experience with bio-inspired AI and genetic algorithms, relevant for optimization problems in data science.
Exposure to LiDAR data processing for object detection, showing practical application of machine learning.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric or English test results are available.

Nicklas Bekkevold

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit