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 data mining and predictive machine learning. My main field of expertise is time series forecasting.

Example Projects

• Conceptualising and implementing forecasting algorithms for EV charging demand (work in progress)

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

• Daily stock market predictions (work in progress)

• Dynamic map visualisation (see here)

• Interactive map visualisation with Leaflet (see below)

• Big-data regression analysis

• Prediction of sales and their uncertainty distributions (Kaggle bronze medal)

• Shiny dashboards

• Fuzzy matching of names

• Derivation, analysis, and visualisation of financial cycles

• Correcting labour market flows for instantaneous probabilities

• Interactive R tutorial