Amine Saidi Email & Phone Number

Passionate Data Scientist at Amadeus, specializing in Fraud Detection and driving products migration to Azure. My role involves developing and implementing Machine Learning algorithms for Anomaly Detection and User Behavior Analysis across diverse products such as Selling Platform, Inventory, Loyalty Management, and e-Commerce. Additionally, I actively contribute to the ongoing products migration, participating in Architecture, Security, and DataOps meetings, and gaining valuable insights into the Data Products Lifecycle.My academic journey at UTC, majoring in Artificial Intelligence and Data Engineering, laid the foundation for my current achievements. Prior experiences include collaborative research with Airbus Defense & Space, where I contributed to the development of real-time stress monitoring algorithms. Additionally, I gained hands-on experience during an internship at Global Baby, where I focused on designing ETL pipelines and laying the groundwork for an invoice digitalization web application.Known for my creativity and precision, I am committed to leveraging data science for surveillance, security, and protection. My goal is to strike a balance between scientific, technical, and functional aspects, contributing to a fast-paced environment where innovation and practical solutions thrive. Looking to continue my journey in roles that allow me to apply my diverse skill set and contribute to the evolution of technology in the industry.