Christoffer Lybekk

Data Scientist

https://www.opentalent.in/christoffer-lybekk

NorwayMember since June 23, 2026

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, through personal projects like 'python-tutoring'.
Experience with Jupyter Notebook, a common tool in data analysis and machine learning workflows.
Exposure to various web technologies (JavaScript, HTML, CSS, Vue, Angular) indicates a broad technical foundation, potentially useful for data visualization or MLOps interfaces.
Experience with PouchDB/CouchDB in 'offPIM' suggests an understanding of database concepts, albeit NoSQL.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are exclusively personal and primarily focused on web development and general programming, with limited direct alignment to a Data Scientist role. While 'python-tutoring' and 'Jupyter Notebook' are relevant, the overall portfolio lacks projects demonstrating data analysis, machine learning, statistical modeling, or big data processing. This suggests a potential mismatch with the specific technical demands and problem-solving approaches typically expected in a Data Scientist role.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

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Projects

github-stats-dashboard

November 18, 2020 – April 22, 2023

GitHub Stats Dashboard. Made with Angular

View Project

python-tutoring

November 14, 2020 – December 16, 2020

Examples for use in tutoring a python class

View Project

lybekk

August 11, 2020 – September 30, 2022

GitHub profile

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material-web-components

August 10, 2020 – December 13, 2022

A separate repository for generating offPIM's Material Design Components (For web) theme

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offPIM-Server

July 10, 2020 – March 5, 2023

offPIM Server for easy Synchronization

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lybekk.github.io

March 27, 2020 – January 11, 2023

Portfolio site

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offPIM

November 29, 2019 – November 13, 2022

Decentralized, Offline-first, Personal Information Manager (PIM) using PouchDB/CouchDB. Includes task-, note-, and contact-management, as well as journaling.

View Project

Key Strengths

Demonstrated proficiency in Python, a core language for Data Science, through personal projects like 'python-tutoring'.
Experience with Jupyter Notebook, a common tool in data analysis and machine learning workflows.
Exposure to various web technologies (JavaScript, HTML, CSS, Vue, Angular) indicates a broad technical foundation, potentially useful for data visualization or MLOps interfaces.
Experience with PouchDB/CouchDB in 'offPIM' suggests an understanding of database concepts, albeit NoSQL.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. No psychometric test results or interview feedback provided.

Christoffer Lybekk

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit