Thomas Poulain

With a background in data science engineering, I began working in the R&D departments of large companies on recent Data Science problems (NLP, Reinforcement Learning, Data Fusion, (un)supervised Classifications, Time Series Forecasting, Computer Vision, etc.).

Subsequently, I diversified my skills to address more comprehensive data topics, including data science issues as well as data analysis and engineering domains. I work on concrete projects; short, medium, or long term. I use my artificial intelligence skills and knowledge to optimize a company's overall performance and improve its quality of service.

I am therefore capable of rigorously leading data projects end-to-end on my own, from the expression of a need (or a simple idea) to the implementation of a complete, automated, and sustainable solution over time.

Finally, being accustomed to working with people outside the data field, I have learned to quickly understand business needs and, in turn, to easily simplify data issues to explain the ins and outs of a project to everyone.

With these pedagogical skills, I regularly train beginners to understand artificial intelligence strategies and challenges, the most well-known data science algorithms and what they do concretely, best practices in IT development or database management...