Robin Munier

- For Luminus: prediction of the wind speed at any time and anywhere in Belgium (using other meteorological data), automatic detection of anomalous behaviors of yaw systems, prediction of bat presence near wind turbines, prediction of turbines’ active power (with Python).

- For BNP Paribas: Automatic classification of mails with NLP (natural language processing).

- Leader of the Data Tribe (internal department of data): manager of a team of 10 consultants, trainings lecturer, author of articles, interventions in universities, involved in the internal strategy towards data (recruitment, prospection, etc.), internal projects (reporting, algorithmic matching of CV and job descriptions, etc.).

I achieved a model for predicting the electricity consumption of business customer in order to manage the Working Capital Requirement. Furthermore, I produced a fruitful model forecasting insurable sinisters in the hydroelectric plants of EDF. In the short term, the benefits of this project are expected to be greater than one million euros. I performed these projects by coding in python.