Aurélien Fouque

▶ – Digitization of 1000 tools in 10 networked cabinets for the paint shop department. ▶ Development and implementation of an RFID-based tracking solution, identification of tools with RFID tags. ▶ Structuring and integration of tool data into the database – Nexcap. ▶ Training and support of users, administrators and management. ▶ Project management, task planning, analysis of system logs, troubleshooting and parameterization of hardware and software servants. ▶ Piping department, nuclear industry. ▶ Design and calculation of brackets for pipes and power cables, considering pressure surges, thermal expansion and earthquake loads – RSTAB 8 and 9. ▶ Project management: Development of a continuous calculation chain as an interface for various projects and bracket types – Jira, Product Owner. ▶ Development of pre- and post-processing tools for calculation engineers: automatic determination of pipe slopes, updating of catalog data and optimization of data processing – Regex, Python, Numpy, Pandas, Re, Tkinter.

▶ Mechanical calculation engineer & developer – Piping department, nuclear industry. ▶ Design and calculation of brackets for pipes and power cables, considering pressure surges, thermal expansion and earthquake loads – RSTAB 8 and 9. ▶ Project management: Development of a continuous calculation chain as an interface for various projects and bracket types – Jira, Product Owner. ▶ Development of pre- and post-processing tools for calculation engineers: automatic determination of pipe slopes, updating of catalog data and optimization of data processing – Regex, Python, Numpy, Pandas, Re, Tkinter.

– Data integration and knowledge graphs in the areas of supply chain, predictive maintenance, IoT, and battery recycling. ▶ Analysis and structuring of customer data, creation and expansion of ontologies. ▶ Integration of structured and unstructured data into knowledge graphs – Corporate Memory. ▶ Development of REST API/HTTP interfaces between databases and graphs. ▶ Setup and connection of dashboards for visualization – Redash. ▶ Development of machine learning pipelines and their connection to knowledge graphs – SAS Viya Analytics.