I'm a Data Scientist at the Regional Development department at Region Stockholm, where I build data pipelines and analyze data to support strategic planning and evidence-based decision making for regional growth and development. With a strong foundation in Python and R, I'm passionate about making data science more accessible through open-source tools and well-documented solutions.
Languages: Python (primary) β’ R (proficient)
Data Science: Pandas β’ NumPy β’ Scikit-learn β’ Matplotlib/Seaborn β’ Jupyter
AI/ML: LangChain β’ HuggingFace β’ OpenAI API β’ Anthropic API β’ Pydantic
Databases: ChromaDB
Streamline access to Swedish statistical data with this Python wrapper for Statistics Sweden's PxWebAPI 2.0. Makes complex government datasets simple to work with.
A Python wrapper for the Eurostat statistics and catalogue APIs, providing easy access to European statistical data.
Unlock Swedish municipality insights with easy API access. Perfect for researchers and analysts working with local government data.
π Data-driven solutions for real-world problems
π§ Well-documented tools that save time for fellow data scientists
π€ Collaborative projects - I actively welcome issues, PRs, and discussions
π Learning resources and examples from my data science journey
- π¬ Open an issue or start a discussion in any repository
- π Follow me on GitHub for updates
- πΌ Connect with me on LinkedIn
Always open to collaboration and feedback!
Thanks for stopping by!