Mouad Sayah

Design and implementation of data-driven predictive maintenance strategies specifically engineered for industrial energy optimization. Leveraging IoT sensor telemetry and machine learning algorithms, I developed a system to forecast equipment degradation, thereby preventing costly downtime and drastically reducing unnecessary energy consumption from inefficiently operating machinery. This approach successfully balanced asset longevity with optimal power utilization.

• ● Analysis and resolution of problems related to the optimization of failure of an 813-321-0101 injection mold, by identifying root causes and proposing corrective actions aimed at improving its performance and durability.

• ● Design and improvement of mounting solutions used for control and manufacturing, with the aim of optimizing the accuracy, reliability and efficiency of industrial operations.