Ilyas Kamal

• IoT Data Analysis: Managed post-reception data from smart sensors in Tesla tires for Michelin, using pandas to extract key insights from raw data. Contributed to continuous sensor improvements through data-driven recommendations. • Smart Mobility Studies: Delivered comprehensive mobility studies to departments in France and the U.S., analyzing the impact of road infrastructure and developing algorithms to detect hazardous driving behaviors. • Utilized tools like Databricks, PySpark, Snowflake, and AzureML to handle complex datasets in the smart mobility sector.

• Led and managed a data centralization project, improving operational efficiency by consolidating and analyzing data from multiple sources. • Implemented data exploitation strategies to identify trends, goodpractices, and opportunities for improvement, contributing to more informed decision-making within the workshop. • Coordinated the continuous improvement of operational processes, building a robust knowledge base that enhanced operations and drove innovation across the organization, by leveraging the digitalisation of the pass on knowledge.

• Led the enhancement of an Electrostatic Discharge (ESD) monitoring network using the Six Sigma DMAIC methodology. • Implemented real-time wireless data collection from over 700 operators, improving ESD monitoring capabilities. • Developed a desktop application with SQL database integration, enabling managers to generate customized ESD reports. • Designed and deployed a machine learning model to detect and prevent attempts to bypass the ESD detection system, ensuring system integrity.

Monitored the interventions of subcontractors, when maintaining or repairing the power plant's equipment. Supervised the digitization of the power plant's surveillance system.