Experience

Power Market Machine Learning Engineer 2019-2024

• Working within the ELMY trading team :
  • Building Machine Learning models for predicting the Day-Ahead market prices
  • Direct link with the traders and access to market indicators
  • Developing high-quality tools in a fast-paced environement
• Implementation and developpement:
  • Julia, Python (pytorch, pytorch geometric, tensorflow, scikit-learn, scipy, numpy, pandas), SQL
  • Airflow, Docker, jenkins, ETL
  • Visualisation : Grafana, Matplotlib

Research Internship 2019

• Forecasting Electricity Prices (EPF) at ELMY.
• Conducting a state of the art on EPF
• End-to-end solution from live data gathering to results publications
• I pursued my research as a thesis

Research Internship 2018

• Bilingual (english) internship at Merck, Darmstadt
• Studying the neocortical algortihm from Numenta
• Drafting a customized implementation (python)