Eya Nouiri

• Developed a cutting-edge real-time audio anomaly detection system leveraging Machine Learning and Deep Learning techniques, significantly automating the analysis of continuous audio streams during extensive industrial tests, thereby minimizing the need for manual inspection.
• Engineered a comprehensive end-to-end ML pipeline in Python, encompassing data preprocessing, feature engineering, model training, and inference, which facilitated the scalable processing of multiple concurrent audio streams and achieved full workflow automation.
• Architected a modular and scalable system design, enhancing the system's adaptability and performance for future expansions and integrations in AI-driven applications.
• Collaborated with cross-functional teams to align project objectives with business goals, fostering innovation and efficiency in AI solutions.

• Engineered Python-driven automation solutions for HR, Sales, and Point-of-Sale (POS) workflows, significantly enhancing operational efficiency and optimizing enterprise data management across various business processes.
• Created a sophisticated rule-based customer loyalty program (Bronze/Silver/Gold tiers) featuring a dynamic promotion engine, leveraging customer purchase history and behavioral analytics to drive engagement and retention.
• Architected a modular backend system designed for scalability, ensuring robust enterprise functionality with a clear delineation of business logic, facilitating easier maintenance and future enhancements.
• Collaborated with cross-functional teams to integrate AI-driven insights, enhancing system capabilities and user experience.