Selected Work and Projects

Time-Series Forecasting of PV-Growth

Categories:

Machine Learning

ML-Model Validation

Data Science

Data Extraction & Processing

Data Visualization

Time Series Forecast

Technologies:

Python

Darts

Pandas

Matplotlib

Used a series of mutlivariate time series models from the package Darts to forecast the energy production from PV-systems in Germany using 8 historic and 1 predicted metrics. Optimizing mode architecture (N-Beats), evaluating and using the forecast in a research-paper about the consequences of the national growth in pv-systems.

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Soccer Prediction Model & Evaluation

Categories:

Machine Learning

Monte Carlo Simulation

ML-Model Validation

Data Science

Data Visualization

Data Extraction & Processing

Technologies:

Python

PyTorch

Matplotlib

This project explored predicting football match goals using machine learning. The goal was to test a goal-count-based regression model against the default choice of a win/loss/draw classification model. Despite achieving some success in predicting match outcomes, limitations in goal margin prediction prevented real-world profitability. The model was tested by simulating betting as monte-carlo-simulations and visualizing it's accuracy compared to simpler betting paradigms.

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