I am a passionate data science enthusiast with very good knowledge of a wide range of experience in R and Python implementations and libraries. I am currently employed at Noweda e.G. (Essen) as an AI Engineer and Data Scientist. My range of activities includes the areas of data acquisition via web scraping, processing, structuring and visualization of this data, as well as their evaluation with methods of modern causal analysis or ML algorithms. In order to realize these projects, I regularly take on the conception and leadership of teams.
Furthermore, I’m working on my PhD thesis at the chairs of Comparative Politics & Social Science Data Analysis, Ruhr-Universität Bochum. My main research interests are labour market policies and their effects on individual health and interest groups and lobbyism. I have published articles on interest groups and prevention policies.
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Interests
Education
M.A. in Methods of Social Research, 2019
Ruhr-Universität Bochum
B.A. in Social Science, 2016
Ruhr-Universität Bochum
R
5 years
Python
2 years
Statistics / ML
7 years
Modern Causal Analysis
4 years
Data Visualization
5 years
Automated Reporting
4 years
AI Engineer & Data Scientist
Responsibilities include:
Data Scientist
Responsibilities include:
Junior Data Scientist
Responsibilities include:
Research Assistant
Ruhr-Universität Bochum – Chair for Social Science Data Analysis
Responsibilities include:
Research Assistant
Responsibilities include:
Student Assistant
Ruhr-Universität Bochum – Chair for Health Policy
Responsibilities include:
Student Assistant
Ruhr-Universität Bochum – Chair for Social Policy and Public Economics
Responsibilities include:
Using Directed Acyclic Graphs for Causal & Statistical Inference
GESIS · – 07/28/21
This course uses causal graphs as a remarkably simple, yet general and powerful framework to describe and discuss a large set of problems that empirical social scientists need to tackle. How can I communicate my assumptions effectively to others, and can I test them? How can I tell correlation from causation? How do I choose control variables for my regression models?
See certificateBig Data. Introduction to Data Science with Python
GESIS · – 09/18/19
Data Science is the interdisciplinary science of the extraction of interpretable and useful knowledge from potentially large datasets. This course provides an introduction into Data Science for practitioners, covering data collection, preprocessing, exploration, visualization and machine learning using Python and key packages like pandas, numpy and scikit-learn.
See certificateEinführung in die Methoden der modernen Kausalanalyse
GESIS · – 11/17/17
Modern causal analysis as a tool for non-experimental data — covering propensity score matching, instrumental variable estimates, regression discontinuity designs and selection correction models.
See certificateGESIS · – 10/06/17
The investigation of causal relationships often goes hand in hand with the question of the processes and mechanisms underlying these relationships and thus potential mediators. This course covers causal diagrams, direct and indirect causal effects, and sensitivity analysis.
See certificateLeadership in formal education settings
Social Policy & Social Economy Section
Bildungs- und Qualifikationsraum Ruhr 2040
Im Projekt „Bildungs- und Qualifikationsraum Ruhr 2040" wird die zukünftige Entwicklung der regionalen Bildungsteilhabe und des qualifikationsspezifischen Arbeitskräfteangebots in Nordrhein-Westfalen, mit Fokus auf dem Ruhrgebiet, dargestellt.
Interest group participation and its influence in German legislation
The project analyses the presence and influence of interest groups, corporations, policy experts and other actors in the German parliament (Bundestag).
Influence of the general statutory minimum wage on membership in a trade union
The aim of the research project is to examine whether the introduction of the general statutory minimum wage has an impact on the probability of continuing membership in a union or joining a union.
Trends and explanatory factors in health prevention spending in OECD countries
The aim of this project is to examine trends in prevention spending in OECD countries and the factors underlying these trends.
The Influence of the German Statutory Minimum Wage's Introduction on Individuals' Health
This contribution scrutinises how introducing a statutory minimum wage of EUR 8.50 per hour, in January 2015, impacted individuals' health.
Ökonomische Selektivität im politischen Engagement
In diesem Vortrag werden die Analysemethode und -ergebnisse des Einflusses ökonomischer Faktoren auf die Bereitschaft zum politischen Engagement vorgestellt.
Dieser Beitrag analysiert den Einfluss der Einführung des allgemeinen gesetzlichen Mindestlohns auf die Mitgliedschaft von abhängig Beschäftigten in Gewerkschaften.
The German Statutory Minimum Wage's Impact on German Trade Unions' Membership
This contribution scrutinises how introducing a statutory minimum wage of EUR 8.50 per hour, in January 2015, impacted German trade unions' membership.
Vor dem Hintergrund der Zunahme chronischer Krankheiten wird Prävention immer wichtiger. Die Präventionspolitik der OECD-Länder ist Gegenstand dieses Vortrags.
This article discusses web collection of interest group statements on bills as a data source. Written statements allow the identification of actors active in policy-making as well as those actors' positions, lobbying coalitions and issue saliency. Taking web collection from the German parliament's and ministries' web pages as an example, we demonstrate the collection process and the merits and limitations of employing written statements as identificatory data.
Was it worth it? The impact of the minimum wages' introduction on union membership of employees
This contribution scrutinises how introducing a statutory minimum wage of EUR 8.50 per hour on January 1, 2015, impacted German employees' decision towards a union membership. Based on representative data from the 'Panel Labour Market and Social Security', we apply a logistic difference-in-differences propensity score matching approach.