Bayesian Neural Network for Demand Response Pricing
Advanced time-series forecasting model for energy price prediction using a Bayesian neural network.
PythonPyTorchPandasTime Series Analysis +1
Andre de Brandt
Quantitative Analyst | Energy Trading & Machine Learning
Developing models and infrastructure for systematic power trading, working across data engineering, ML forecasting, and optimization algorithms.
4+
Years Experience
US + EU
Markets Covered
Python + ML
Core Stack
Power Trading
Specialization
Professional Experience
My journey in quantitative finance and machine learning infrastructure
Junior Quantitative Analyst
Priogen Energy • Amsterdam, Netherlands
Data Specialist
Priogen Energy • Amsterdam, Netherlands
AI Specialist
EEVE • Waregem, Belgium
Projects
A showcase of projects demonstrating expertise in quantitative finance, machine learning infrastructure, and high-performance computing.
Diffusion Autoencoders for Prediction of Sudden Cardiac Death
Using Representations from Diffusion Autoencoders for Prediction of Sudden Cardiac Death
Python
Technology Stack
Core technologies and tools used in quantitative analysis and ML deployment.