Frederik Peter Høngaard

Data Scientist

https://talent.gravityer.com/frederik-peter-hongaard

CopenhagenMember since June 28, 2026

Key Strengths

Demonstrated proficiency in Python through multiple personal projects.
Experience with Dockerfile and Makefile indicates understanding of containerization and build automation.
Exposure to data curation and analysis (dk-property-trades) aligns with Data Scientist role.
Interest in AutoML (lazy-learn) and Generative AI (genai-cookbook) shows proactive learning in relevant areas.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects demonstrate initiative and a strong interest in data science and machine learning, which aligns well with a culture of continuous learning and innovation. The diversity of projects, from data curation to AI tools, suggests adaptability and a broad technical curiosity. However, without professional experience or team-based project descriptions, assessing collaboration and broader cultural fit is limited.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

bob-code

December 6, 2025 – December 16, 2025

Source code for Bob Code, a TUI agentic coding tool

View Project

genai-cookbook

September 21, 2025 – September 21, 2025

genai-cookbook — GitHub repository

View Project

how-to-python

August 2, 2025 – November 8, 2025

how-to-python — GitHub repository

View Project

dk-property-trades

March 9, 2024 – May 7, 2024

A curated data set of Danish residential real estate trades 1992-2023

View Project

frederikhoengaard

February 1, 2024 – February 1, 2024

frederikhoengaard — GitHub repository

View Project

python-skeleton

May 4, 2023 – May 29, 2023

Repository to initialize any Python project

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lazy-learn

May 4, 2023 – May 30, 2023

Hands-off AutoML with Python

View Project

RDS-Project-2022-1

March 3, 2022 – May 30, 2022

RDS-Project-2022-1 — GitHub repository

View Project

listings_template

May 10, 2021 – May 10, 2021

listings_template — GitHub repository

View Project

fhlearn

February 17, 2021 – October 20, 2021

fhlearn — GitHub repository

View Project

Key Strengths

Demonstrated proficiency in Python through multiple personal projects.
Experience with Dockerfile and Makefile indicates understanding of containerization and build automation.
Exposure to data curation and analysis (dk-property-trades) aligns with Data Scientist role.
Interest in AutoML (lazy-learn) and Generative AI (genai-cookbook) shows proactive learning in relevant areas.

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.

Frederik Peter Høngaard

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit