Bassist, Skater, Data Scientist.
Studying Business Computing and working as a Data Analyst has immersed me in an industry that is as dynamic and diverse as my home city, Berlin.
My expertise lies in Data Science and Data Analysis, areas that are pivotal in today’s data-driven world. In our current society, data stands as one of the most valuable assets, and its responsible utilization is crucial for modern companies aiming to excel in a rapidly evolving landscape.
Optimization and performance assurance of the GPS-based toll system.
Working with Big Data (>1 million data points per day).
Visualization using Geographic Information Systems (GIS).
Integration of machine learning algorithms.
Conducting analyses in Python and R.
Creating reports in Cognos, Kibana, and Excel.
Process optimization with Access and VBA.
Support in various projects.
Integration of advertising spaces and ad technologies.
Maintenance and improvement of the ad framework.
Debugging and error analysis.
Development of JavaScript functions for partners.
Creation of regular KPI and revenue reports.
Development of dashboards using Excel and VBA.
Analysis of new partners and advertising technologies.
Verification and booking of invoices.
Onboarding and training of new working students.
Optimization of the onboarding process through video tutorials.
Business / Computer Science
Credits: 18
Courses: Interactive Media, Diversity and Inclusion, Data Science for Innovation
Business Informatics
Credits: 120
Current GPA: 1.9 / High Distinction
Specialization: Business Intelligence / Data Science
Business Administration (Digital Economy)
Credits: 210
GPA: 1.59 / High Distinction
Thesis Grade: 1.0 / High Distinction
Thesis Topic: Lyrics Mining – Investigating the Influence of the Coronavirus on 2020s Music Charts
Grade Points: 634
GPA: 2.1 / Distinction
My biggest interest is music. I just love to connect and jam with people and it is always fun to
discover new genres and styles.
Here you can see me performing with my band:
If I am not rehearsing, you will see me riding my bicycle or skateboard around the city.