Imane GAROIDE

- Customized Tools for Marketing AD‑hoc needs: Development and deployment of visualization tools: interactive mapping, or co‑marketing campaign management to facilitate the management of shared tasks. - Market local updates: Design and deployment of an assistant based on RAG architecture, enabling natural language queries of the business knowledge base and drastically reducing search times to summarize the latest news and trends in a region in order to guide marketing efforts. - Benchmark operating model: Monitors competitors’ organizations to understand their operating models and identify their strengths (sales employees, marketing campaigns, logistics and distribution assets).

-Optimized manual packaging processes using the DMAIC method. -Designed and deployed a hybrid solution to resolve production inconsistency issues, ensure cutlery quality, and improve process flexibility.

-Designed a digital twin of a real factory integrating 10 stations (AGV, cobots, quality control, etc.) with updates using Global Table and User Event. -Implemented bidirectional communication between Node-RED and FlexSim for real-time data collection and exchange via connection to an SQLite database.

-Developed a predictive approach using Excel to anticipate costs and lead times for orders. -Led the design and implementation of a new feature in Magento in collaboration with the IT team and the logistics provider (integration of new data and creation of cross alerts), streamlining inventory management with effective change management tools.

-Supported the migration of data and reports from Power BI to Qlik Sense by assessing needs and contributing to the implementation of a technical foundation ensuring the reliability of indicators. -Developed a control plan to ensure traceability of EPT terminals: spatiotemporal analysis of data flows, process mapping, bottleneck identification, standardization of procedures, and updates to PowerCard.

Tutoring in mathematics and French courses for high school students preparing for the baccalaureate.

- Developed a comprehensive approach with a precise definition of the project scope (market landscape assessment, feasibility study), and established a clear strategic roadmap for the project. - Designed and implemented a drone solution, integrating real-time monitoring via IoT and image recognition algorithms (YOLO) for the classification of detected anomalies in boilers. - Conducted pricing studies and cost-benefit analyses, reducing 60 hours of work and saving €119,900 per inspection.

-Developed a Reinforcement Learning model to coordinate the movement of AGVs in a warehouse, incorporating a robotic trajectory synchronization system that prevents collisions with an achieved precision of 0.83. -Developed a robotic trajectory synchronization system to prevent collisions and optimize collection time.