Interests
Data Engineering, the modern data stack, and in the question on how to build a successful data infrastructure
Data Science, NLP, and the effects of Data Science on our society
Software Engineering best practices, such as testing, documentation, readable code and code reviews
Cloud computing
Technologies
Data Science: Python (Scikit-Learn, PyTorch, TensorFlow, Pandas, Numpy), SQL
Data Engineering: dbt, Snowplow, BigQuery, PySpark, Airflow
Web Development: FastAPI, TailwindCSS, htmx, jinja
DevOps: Git, Docker, Github Actions, Terraform (basics)
NLP: Gensim, Spacy, Huggingface
Data Visualization: Looker, Streamlit
Certifications
Google Cloud Certified Professional Data Engineer (2023)
AWS Certified Solutions Architect - Associate (2021)
AWS Certified Machine Learning - Specialty (2021)
Azure Architect Technologies Certificate/ AZ-300 (2019)
Education
2017-2018: ETH Zurich, Certificate in Advanced Studies in Computer Science, Department of Computer Science
2014-2017: ETH Zurich, Master in Energy Science and Technology, Department of Mechanical and Process Engineering
2015: KTH Royal Institute of Technology, Stockholm, Exchange Semester, School of Industrial Engineering and Management
2011-2014: ETH Zurich, Bachelor in Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering