As a data science freelancer, 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 predictive machine learning, data mining and visualisation, and beyond.

Example Projects

• Development of a new Python library for interpretable machine learning (work in progress)

• Daily stock market predictions with LightGBM and Keras in Python (work in progress)

• Dynamic map visualisation in Python (see here)

• Interactive map visualisation with Leaflet in R (see below)

• Regression analysis in R

• Prediction of sales and their uncertainty distributions with LightGBM in R (Kaggle bronze medal)

• R Shiny dashboards

• Fuzzy matching in R

• Time series analysis and prediction in R

• Derivation, analysis, and visualisation of financial cycles in R

• Correcting labour market flows for instantaneous probabilities in Excel and VBA

• Interactive R tutorial