Mohamed Boussaa

Mohamed Boussaa is a skilled data engineer and scientist with a comprehensive background in data engineering, analysis, and growth hacking. Currently serving as a Data Engineer at Muséum national d'Histoire naturelle since June 2023, notable prior experience includes roles as a Growth Data Engineer at Reezocar, a Data Scientist at StormHarvester, and a Data Scientist for Communauté urbaine Grand Paris Seine & Oise. Mohamed's expertise encompasses the implementation of machine learning pipelines on AWS, automation of business processes, data governance, and the development of data pipelines utilizing various tools and technologies such as Python, Tableau, and Azure ML. Educational qualifications include a Master's degree in Big Data and Social Analysis from Conservatoire National des Arts et Métiers, among other degrees in economics and marketing.