🎯 The goal of this project was to identify the cause(s) behind repeated failures during specific periods of experiments conducted by a CNRS doctoral researcher. 📊 Statistical analysis, combined with discussions with external organizations, such as the Société des Eaux de Marseille, which supplied the water used in these experiments, allowed me to rule out a significant number of factors. ✅ This narrowed the possibilities down to two key variables playing a major role in the experiments' outcomes. 🛠️ This highly complex project required the use of artificial intelligence tools, statistical methods, 80 hours of work, and a 90-page report. ✨ The results speak for themselves! The doctoral researcher can now continue her experiments with confidence 💡, avoiding wasted time on trials destined to fail. 🚀