I'm an independent data scientist. I'm experienced in data mining, time series forecasting, and the implementation of LLM use cases.
In past lives, I completed a PhD in Economics with a focus on Game Theory and worked as a software consultant for TNG Technology Consulting, specialising in software architecture.
Here's my CV.
As a data scientist, I help people gain meaningful, reliable, and actionable insights from data in a perceptive, diligent, and responsible way. I leverage my broad experience in econometrics, machine learning, and software engineering to offer comprehensive solutions in data mining, predictive machine learning, and leveraging LLMs. My main field of expertise is time series forecasting.
My current techstack
Python, SQL, Unix
Polars, Pandas, NumPy, PySpark
LightGBM, Keras/TensorFlow, scikit-learn, Optuna
FastAPI, Streamlit
OpenAI, Anthropic, Pydantic, Sentence Transformers
Git, Docker, Poetry, DVC, Ruff
AWS (S3, ECS, EC2), Databricks, GitHub, GitLab, PyCharm
Selected projects
LLM use cases for a European national public broadcaster (work in progress)
Backtesting infrastructure and machine learning trading strategies for a US FinTech startup
Forecasting algorithms for EV charging demand for a German startup
After hours, I'm a writer, rusty drummer, and aspiring swimmer.
