Julien Chaplet

With over 10 years of experience in statistical modeling applied to finance, I have specialized in recent years in data science, MLOps, and generative AI. I now also leverage these skills in other business sectors.

Throughout my various assignments, I have addressed diverse business problems and needs related to data, including analysis with dashboard production and automation, engineering through data pipeline automation, data science by improving machine learning model performance, and generative AI with the development of chatbots using the RAG process. I have also developed and deployed numerous machine learning and deep learning models as part of my entrepreneurial quantitative trading activities (price prediction service, sentiment analysis, market "regime" classification, etc.).

I am therefore capable of handling your projects throughout their entire lifecycle:

- data cleaning and enrichment (particularly via web scraping algorithms)

- data pipeline implementation (data engineering)

- analysis and visualization (using Python, Power BI, or Looker Studio)

- selection, development, and implementation of the most suitable algorithms for your needs

- deployment via FastAPI, AirFlow, Docker, Kubernetes, and GitHub Actions (or Jenkins) for automated testing and CI/CD workflows, on cloud infrastructure such as AWS.

Rigorous, hardworking, and passionate, I will do my utmost to meet your expectations.