Mathieu Duverne

- Migration of five internal libraries from Qt3 to Qt5, which are used by over 100 industrial ERP and

CRM programmes for inventory and process management. This involved managing complex circular

dependencies and performing in-depth regression testing. Over a year of agile collaboration to reduce

technical debt.

– Detection of post-welding defects on 5 to 8 mm tubes (Python, YOLO).

– Optimization of box filling with complex 3D parts (Bin packing problem, Python).

– Develop the Express.js API to bridge the gap between industrial machines and IT services.

- Preprocessed water consumption data using Power BI and Python, integrating historical and usage data from various sources.

- Implemented and compared two water usage prediction algorithms: Power BI's prediction algorithm and Meta's Prophet."

- Created interactive dashboards and reports to visualize findings and trends in water usage patterns.

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