Mohammed MANOUNI

- Design and develop a business rules engine that can validate complex constraints. - Integrate this engine ecosystem via a secure API. - Automate the analysis of metadata - Generate detailed error reports for business users. - Orchestrate the process via asynchronous jobs with progress tracking and logging. - Ensure compatibility with specific rules for each product family.

Tasks: • Designed the system architecture and data flow • Created and implemented fraud detection models using machine learning algorithms • Developed and managed data pipelines • Built the backend to handle data processing, API endpoints, and business logic. • Creating a user-friendly interface for managing transactions and viewing fraud alerts. • Integrated machine learning models into the application for real-time fraud detection and alert generation. • Designed and implemented dashboards for visualizing fraud predictions and transaction statistics

- Designed and managed database for storing shift and roster data. - Developed the desktop application - Integrated Excel file import/export features for compatibility with existing planning tools.

Tasks: • Analysis and design • Database integration and management. • Web application development.