Summary
Aurélie Frechet is a Data Scientist with 8 years' experience and a strong specialization in R and RShiny, delivering production-grade applications, R packages and code optimizations for clients across healthcare, public institutions and energy. She combines creativity and rigor to industrialize Shiny apps (golem), introduce unit testing and good Git/R practices, and build reusable templates that align with corporate design systems. Familiar with large-volume data, SQL optimization and translation of SAS workflows to R, she also trains and mentors analysts through workshops and documentation. Based in Rennes, France, Aurélie stands out for turning ad-hoc analyses into maintainable, well-tested tools that accelerate researchers’ access to actionable data.
8 years of coding experience
1 year of employment as a software developer
Ecole nationale de la Statistique et de l'Analyse de l'Information
Diplôme Universitaire Technologique, Statistique et Informatique Décisionnelle, Diplôme Universitaire Technologique, Statistique et Informatique Décisionnelle at IUT Paris Descartes
French, English, German, Spanish, lsf