Samuel Barbeau
About Samuel Barbeau
Samuel Barbeau is a Data Scientist based in Montreal, Quebec, Canada, currently employed at dcbel since 2021. He specializes in developing machine learning algorithms for healthcare, focusing on blood test analysis and sleep apnea diagnosis.
Work at dcbel
Samuel Barbeau has been employed as a Data Scientist at dcbel since 2021. In this role, he focuses on developing machine learning algorithms aimed at predicting medical states. His work enhances healthcare decision-making processes, contributing to improved patient outcomes. Based in Montreal, Quebec, Canada, Samuel leverages his expertise in data science to drive innovation within the organization.
Education and Expertise
Samuel Barbeau holds a Master's degree in Data Science and Business Analytics from HEC Montréal, which he completed in 2019. Prior to this, he earned a Baccalauréat in mixed specialization (I.T. / Operation Management) from the same institution between 2015 and 2018. He also studied business at The Chinese University of Hong Kong for 11 months in 2017. Samuel specializes in blood test analysis and sleep apnea diagnosis, utilizing his educational background to advance these medical fields.
Background
Samuel Barbeau's professional journey includes various roles in data science and analytics. He worked as a Data Scientist at Biron Health Group from 2019 to 2021, where he created real-time KPIs and custom dashboards to improve operational efficiency. He also served as a Data Scientist at explor.ai for seven months in 2021. Earlier in his career, he held the position of BI Analyst Intern at McKesson Canada from 2018 to 2019 and worked as an Operations Supervisor at MissFresh for three months in 2018.
Technical Skills and Tools
Samuel Barbeau utilizes Azure Cloud Services, including Azure ML and Kubernetes, for deploying AI models in healthcare applications. He is skilled in maintaining and improving ETL architecture, ensuring seamless data processing and integration. His technical expertise supports his work in developing machine learning algorithms and enhancing healthcare decision-making.