Aziz Ajrir

– At Natixis: Developed a Retrieval-Augmented Generation (RAG) system for the analysis and querying of financial documents, improving processes and client communication. – At Groupama: Developed multiple chatbots based on Retrieval-Augmented Generation (RAG) using LangChain to optimize internal processes and enhance client communication. – At PwC: Established an AI lab and delivered multiple AI use cases leveraging Databricks and Azure. – At La Poste: Analyzed and improved data quality in the data lake. – At ARTE TV: Designed and implemented a recommendation system using Databricks, PySpark, and Azure, leveraging NLP to enhance content discovery.

– At BPCE Bank: Development of Machine Learning and Computer Vision solutions for the banking sector. – At Air Liquide: Data analysis in the industrial sector to identify production sites with abnormal maintenance costs. – At Sonepar: Customer churn analysis (Churn Prediction).

– Root cause analysis and anomaly detection in semiconductor manufacturing. – Utilization of statistical methods and machine learning to explain yield losses. – Automated detection and classification of WaferMap signatures.