I'm a data scientist at UNICEF Germany,
helping my colleagues with everything data-related from visualizations to predictions
and pursuing my own data-driven ideas to support UNICEF's mission on helping children all around the world.
I'm also part of the Data Taskforce and the Green Team.
Climate change, conservation, gobal health, food security and education are some of the topics I care about.
Using remote sensing and machine learning in a sustainable way to bring forward these topics is what I'm excited about.
I did my MSc in Business Administration, Media and Technology Managment at the University of Cologne in Germany,
focussing on Data Science, Technology Management and Digital Transformation.
I was a member of Enactus and spent a term abroad at the Indian Institute of Management Ahmedabad in India.
I worked at the digital consultancy FELD M in Munich as an intern and working student (Digital Analytics)
and at the tech start-up Metalshub in Düsseldorf as a working student (Entrepreneurship and Marketing).
I did my BSc in Economics and Business Administration at the University of Tübingen in Germany.
During my bachelor's I was a member of our faculty's student council and Market Team.
I spent a term abroad at Lomonosov Moscow State University in Russia and another one at Oregon State University in the U. S.
I worked at the tech start-up Kreatize in Berlin as an intern and working student (Business Development and Product Management).
Besides, I enjoy learning about space, astronomy, philosophy and vegan/regional/seasonal cooking.
I'm a member of the public observatory in Cologne.
On occasion I like to participate in hackathons with a positive societal impact.
Projects
Classifying land cover in KAZA using remote sensing and machine learning in collaboration with WWF Germany's Space+Science Team
October 2022: Environ-Mate is featured in the data.europa.eu's Use Case Observatory research project
September 2022: My guest contribution on using data for good causes appeared in my former colleagues' (Dr. Ramona Greiner, David Berger, Dr. Matthias Böck) book "Analytics und Artificial Intelligence"
Starting December 2021: Supporting WWF Germany's Space+Science Team in monitoring agricultural practices in the Kavango-Zambezi Transfrontier Conservation Area using Earth Observation and Machine Learning
September to November 2021: Machine Learning Engineer at Omdena’s Dryad Challenge on “Building AI Model to Detect Forest Wood Fire through Sensor Data Analysis”
November 2020: Winning team in remote HIDA Datathon for grand challenges on climate change
March 2020: Webinar on Environ-Mate at EU Lunchtime Conference
