Guillaume Le Floch
About Guillaume Le Floch
Guillaume Le Floch is an SEO Data Project Manager currently working at ManoMano in Bordeaux, France. He has a background in data science, having previously worked at Cdiscount where he developed various data-driven solutions and conducted sentiment analysis.
Current Role at ManoMano
Guillaume Le Floch serves as the SEO Data Project Manager at ManoMano since 2021. In this role, he focuses on optimizing search engine performance and enhancing user experience through data-driven strategies. His work involves analyzing large datasets to inform SEO tactics and improve the visibility of the company's online presence.
Previous Experience at Cdiscount
Guillaume Le Floch worked at Cdiscount from 2018 to 2021 as a Data Scientist. During this time, he developed a dynamic linking system for 2 million landing pages using TF-IDF and Node2Vec algorithms. He also conducted retro-engineering of Google's algorithm to improve page rankings and implemented a prediction model for customer navigation patterns using Recurrent Neural Networks.
Internship Experience in Data Science
Guillaume completed internships in data science, including a position at Cdiscount in 2018 and at Bärchen in 2017. At Bärchen, he engaged in data analysis and predictive modeling, utilizing R Shiny for decision tree visualizations. His internships provided him with practical experience in applying data science techniques to real-world problems.
Educational Background in Mathematics and Statistics
Guillaume Le Floch studied at Université de Rennes 1, where he earned a Magistère in Statistique et Modélisation Économique from 2016 to 2018. He also obtained a Licence in MIASHS from Université Rennes 2 from 2013 to 2016, and a Master in Mathématiques appliquées et statistiques from the same institution. His educational background laid a strong foundation in applied mathematics and statistical modeling.
Technical Skills and Expertise
Guillaume possesses expertise in various data science techniques, including unsupervised classification methods such as k-means and hierarchical clustering. He is skilled in programming languages and tools such as Snowflake, Hive, MySQL, NoSQL, and Cypher for database management. His technical skills support his work in data analysis and predictive modeling.