Stella holds a Master's degree in Economics and Sociology from the University of Hamburg, where she cultivated a strong foundation in quantitative analyses. During her studies, she worked on various research projects that deepened her analytical skills. She has experience with programming languages such as R and Stata, basic knowledge of Python, and proficiency in data visualization and preparation tools like Tableau, Alteryx, Power BI, and SQL. Beyond academia, she gained practical skills in data research and reporting at the German Press Agency and the Leibniz Information Centre for Economics. Stella is passionate about turning data into clear, meaningful insights, is solution-oriented, and enjoys teamwork. In her free time, she loves traveling and sports like surfing and hiking.
Skills
Data Visualization:
Tableau
PowerBI
Data Preparation:
Tableau
Alteryx
Power Query
Programming:
SQL
R
Stata
Python (basic)
Key competencies
Manage large datasets and deliver accurate, actionalbe insights
Ability to present complex information in a clear and engaging way
Solution-oriented approach
Solid understanding of statistical and econometric methods
Experience before Data School
Leibniz Information Centre for Economics: Research Assistent in the editorial department of an economic journal (2 years)
German Press Agency: Working Student in Human Resources (6 months)
German Press Agency: Research and data preparation for a project involving a database of political information on EU countries (5 years)
Studies: Economics and Sociology (M.A.), Socioeconomics (B.A.)