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Mohammed Azizi

Mohammed Azizi

Lead Data & Machine Learning Engineer

Courbevoie (92400) France
Employed Open to opportunities
With a strong expertise in artificial intelligence and data analytics, I have had the opportunity to work on and lead end-to-end projects in various fields such as finance and healthcare, delivering value to each profession through specific use cases that seamlessly integrate into both business and technical workflows.
  • Lead and Develop AI and Data Analytics Initiatives for Natixis' Asset & Wealth Management Division. Key Projects:
    • Generative AI : Design and implement generative AI solutions within a highly secure environment, using cutting-edge technologies such as quantized Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) systems. The goal of the use case is to provide the business team with a GenAI tool that allows them to interact with internal databases using natural language.
    • Fund Performance Analytics Platform: Design a data analytics platform to monitor fund performance by integrating external and internal data. This includes a dashboard for in-house versus competitor fund comparisons and an email alerting system for key performance indicators.
    • Client 360: Develop data analytics projects that involve extracting, loading, and analyzing customer engagement data to construct comprehensive 360° dashboards. Our goal is to leverage data insights to support strategic decision-making and provide a 360 view of client engagement channels.
  • Technical Environments & Tools: Azure Data Factory, Azure Databricks, Azure Machine Learning, GCP, Vertex AI, Azure OpenAI, Informatica, Terraform, Jenkins, Tableau, BigQuery, Spark, XLDeploy, PowerBI, Airflow