Demographer @ Statistics Denmark 🇩🇰 & Affiliate @ LCDS Uni Oxford 🇬🇧 // dataviz, bibliometrics, science of science, open science // R, Positron
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Statistics Denmark
Data Scientist
June 24, 2026 – Present
ex2020
January 29, 2021 – November 1, 2021
Code to replicate 'Quantifying impacts of the COVID-19 pandemic through life expectancy losses: a population-level study of 29 countries'
View Projectcovid19-russia
March 26, 2020 – March 31, 2020
Demographic burden of covid19 in Russian regions
View Projectcompare-pop-eu-us
November 22, 2018 – August 13, 2024
Compare population age structures of Europe NUTS-3 regions and the US counties using ternary colour-coding
View Projectdemres-geofacet
May 30, 2018 – January 22, 2025
Reproduce "Geofaceting -- align small-multiples for regions in a spatially meaningful way"
View Projectthe-lancet-2018
January 31, 2018 – September 25, 2018
Reproduce "Regional population structures at a glance"
View Projectgenus-2017
May 18, 2017 – September 23, 2018
Reproduce "Decomposition of regional convergence in population aging across Europe. Genus, 73(1), 2"
View ProjectCultural Fit Analysis
The candidate's projects are heavily concentrated on R and demographic research, which indicates a deep specialization. While this can be a strength, the lack of diversity in technologies (e.g., Python, SQL, cloud platforms) and project types (e.g., machine learning, big data) might limit adaptability to broader data science roles. The current role as 'Data Scientist' at Statistics Denmark aligns well with the project themes, suggesting a fit for roles focused on statistical analysis and official statistics.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.