At Priogen Energy B.V., I improved intraday price forecast accuracy by roughly 10% using machine learning and statistical methods. I also developed a natural gas demand forecasting model covering multiple EU hubs to help inform trading decisions.
As a Junior Trade Ops Analyst at Priogen Energy B.V., I built statistical and machine learning models for solar and wind generation forecasting that saved thousands of Euros for asset management. I also analyzed satellite and other large datasets to identify assets and estimate production potential for Dutch solar panels.
Earlier, as a Data Specialist at Priogen Energy B.V., I developed Python tools for recurring workflows and wrote a script that saved many hours of work per week. At Sennder Benelux B.V., I used SQL and Python to support management reporting and automate daily reports.
