Dany Majard
About Dany Majard
Dany Majard is a Principal Applied Scientist at Streetbees, with a diverse background in data science and physics. They have a strong ability to communicate complex concepts and a keen interest in applying advanced mathematical theories to data science projects.
Work at Streetbees
Dany Majard has been serving as Principal Applied Scientist at Streetbees since 2021. In this role, they leverage their extensive background in data science to contribute to various projects. Their work involves applying advanced analytical techniques to derive insights from data, enhancing the company's capabilities in understanding consumer behavior and market trends.
Previous Experience in Data Science
Prior to joining Streetbees, Dany Majard held several positions in the field of data science. They worked as a Data Scientist at Close Brothers Premium Finance for one month in 2018 and as a Data Scientist at Outra from 2018 to 2019. Dany later advanced to the role of Senior Data Scientist at Outra from 2019 to 2020 and subsequently served as Lead Data Scientist from 2020 to 2021. This progression highlights their growing expertise and leadership within the data science domain.
Educational Background
Dany Majard has a strong academic foundation in physics and mathematics. They earned a Master’s Degree in Theoretical and Mathematical Physics from Aix-Marseille University from 2003 to 2006. Following this, they obtained a Doctor of Philosophy (Ph.D.) in Mathematics from Kansas State University, where they studied from 2007 to 2012. Additionally, they completed a DUT in Mesures Physiques at Université de Reims Champagne-Ardenne from 1999 to 2001.
Research and Interests
Dany Majard has a keen interest in applying graph theory and category theory to data science projects. They also have a passion for blockchain analysis, exploring its connections to these mathematical theories. Their aspiration to integrate econophysics into their data science skill set reflects their commitment to bridging their physics background with modern data science applications.
Professional Development and Skills
Dany Majard combines strategic thinking with adaptability, traits that enhance their effectiveness in data science. Their experience spans international business within a startup environment, emphasizing the importance of teamwork. This diverse background allows them to approach projects with depth and energy, contributing to successful outcomes in their professional endeavors.