Guillaume Q.

Experience and Expertise: 5 Years of Experience in defining, implementing, and optimizing data use cases. - Expertise in Machine Learning Modeling: Advanced development of models for sales forecasting, fraud detection, and credit risk analysis. - Expertise in Data Engineering: Significant experience in data ingestion pipelines, batch & streaming processing, and data storage (SQL & NoSQL) with big data technologies (Spark, Kafka, Hadoop). - Cloud Infrastructure Management and MLOps: Configuration, deployment, and management of cloud architectures (AWS, Azure, GCP) using Docker, Kubernetes, and Terraform. - CI/CD and ML Pipeline Automation: Proficiency in CI/CD processes, using MLflow, Argo, and GitLab for automation and efficient management of ML model lifecycles. Academic Qualifications and Certifications: - Graduate of Ecole Centrale Paris and University Paris Saclay (Ranked #1 in mathematics in the Shanghai ranking). - Certified Professional ML Engineer by Google. -Alumnus of ESCP, with a strong understanding of business challenges. Notable Professional Experiences: - Delivered an advanced computer-vision based fraud detection system for a major player in the retail sector. - Implemented a Fraud Detection system for a major French bank. - Developed a global-scale customer scoring algorithm for a major consumer electronics company. - Created an automated data scraping and storage script for a startup.