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Marius Helten

@mariushelten

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Data scientist at Universität Konstanz, developing statistical network methods for monopartite networks.

Germany

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What I'm looking for

I'm oriented toward public-interest work and outreach, and I'm interested in applying data science to social and public-sector questions.

At Universität Konstanz, I worked as a University Research Assistant on student panel surveys and behavioural experiments using oTree. I cleaned and analysed survey data across three waves, applying statistical models and network analysis.

For my CMVP thesis, I developed a maximum-entropy validated projection method for monopartite networks. My work also includes visualisation methods for ordinal data and graph embeddings, alongside projects using machine learning and network analysis.

Experience

Work history, roles, and key accomplishments

University Research Assistant

Center for Data and Methods (CDM), AG Shikano

Dec 2023 - Mar 2026 (2 years 3 months)

Implemented annual student panel-survey and behavioural experiments in oTree with 150 respondents across 3 waves. Cleaned and analysed survey data, applying statistical models and network analysis.

oTree Survey Design Statistical Modeling Network Analysis Data Cleaning

University Research Assistant

Center for Data Analysis and Visualization (DBVIS), AG Keim

Apr 2024 - Dec 2024 (8 months)

Developed visualisation methods for ordinal data, high-dimensional projections, and graph embeddings.

Data Visualization Ordinal High Dimensional Projections Embeddings

Assessor, Career Potential Assessments

Talentbrücke GmbH & Co. KG

Aug 2022 - Jun 2023 (10 months)

Conducted psychometric assessments and provided structured feedback to school students in group settings.

Psychometric Assessment Feedback Group Facilitation

Social Case Worker

IB - Internationaler Bund GmbH

Dec 2019 - Dec 2021 (2 years)

Tutored secondary school students in academic and social skills.

Tutoring Social Skills Academic Support

Education

Degrees, certifications, and relevant coursework

Universität Konstanz

Master of Science, Social and Economic Data Science

2023 -

Grade: 1.8 (preliminary)

Pursuing an M.Sc. in Social and Economic Data Science with a thesis on configuration-model validated projection for monopartite networks. Preliminary grade 1.8, EQF level 7, 120 ECTS.

Universität zu Köln

Bachelor of Science, Social Sciences

2017 - 2023

Grade: 1.7

Completed a B.Sc. in Social Sciences with a thesis on network analysis of ethnic and gender segregation in schools. Final grade 1.7, EQF level 6, 180 ECTS.