Felix Brunner
I am an experienced data scientist with a proven track record in building custom machine learning solutions for classification, forecasting, and predictive analytics. Leveraging a strong analytical foundation from my PhD in quantitative economics, I specialize in delivering scalable models that transform complex data into actionable insights and automated workflows. My expertise spans time series analysis, image processing and text mining, with a focus on Python and advanced libraries such as PyTorch, scikit-learn, huggingface and langchain.
I apply best practices in software engineering and A.I. to ensure clean, maintainable code and have successfully implemented end-to-end data projects, from conceptualization to deployment. I am also proficient in building data transformation pipelines with SQL and pandas, ensuring efficient data handling and integration in production environments, and had exposure to the conceptualization and management of data-driven projects. Please find my full profile for download below and explore detailed case studies of my previous projects on my project page as well as a collection of my previous research on my research page.