Raphael Gradus

Raphael Gradus currently serves as a Data & AI Consultant at Sopra Steria Next, where he leverages his dual expertise in business analytics and information systems architecture to deliver innovative AI-driven solutions. In this role, Raphael is actively involved in designing and deploying sophisticated machine learning models that address complex client challenges across various industries. His recent projects include developing an end-to-end machine learning pipeline for loan default prediction, which functions as a demonstrator to showcase Sopra Steria's capabilities in operationalizing AI solutions within production environments. This project highlights his proficiency in MLOps, ensuring models are scalable, reliable, and seamlessly integrated into client workflows.

Beyond this, Raphael contributes to the development of AI strategies that optimize data utilization and enhance decision-making processes. His technical skills in analyzing big data, machine learning, and software development are complemented by his expertise in tools such as Tableau for data visualization and his understanding of agile methodologies like Scrum. His background in information systems architecture enables him to design robust, scalable architectures that support advanced analytics and AI deployment at enterprise levels.

Raphael's role also involves collaborating with cross-functional teams to translate complex technical concepts into actionable insights, ensuring that AI initiatives align with strategic business objectives. His ability to manage project budgets and communicate effectively with stakeholders makes him a valuable asset in delivering innovative, high-impact AI solutions that drive digital transformation for clients. With a strong foundation in both technical and strategic domains, Raphael continues to expand his expertise in AI, data engineering, and software development, positioning himself as a key contributor to Sopra Steria Next’s mission of delivering cutting-edge digital solutions.