I'm Guillaume Hurvois.

I lead and manage the Dataiku community, organizing workshops, training sessions, and events to share best practices.

Intervention at Groupama as part of the Dataiku DSS POC. I intervened as a Dataiku expert in the context of a SAS migration to Dataiku DSS. Coupled with a SAS expert, my role is to analyze with him the existing SAS code, implement it on Dataiku and provide a document listing optimization points and explaining the best practices to follow when implementing a flow on Dataiku.

As part of the HAUSSMANN Program aimed at streamlining the data architecture of the "risk modeling and synthesis" domain serving all Risk/Finance reporting, I worked as a Data Engineer/Data Analyst on the project to modernize the Data modeling platform for the Risks business (DATAC). I also worked as a Dataiku expert and trainer by administering the Dataiku DSS platform, supporting business users in developing their skills on Dataiku DSS and by delivering formations to users.

Development of a modular and scalable tool capable of integrating different sources of information (languages ​​and types of data) in order to optimize the processing of customer needs and related information.

I studied deep learning model optimization (quantization, pruning, ...), Data Mining, Cryptography and Mobile Computing.

As an active Student association member for 4 years I organized several events. Also I started and funded projects such as an educational and cultural trip to Japan for 10 students.