Guillaume R. has extensive experience in data science and actuarial science, beginning with an apprenticeship at Groupe AGRICA focused on predictive modeling and Solvency 2 studies. Subsequent roles included a research engineer and PhD student at Thales, a research internship in machine learning at Université Pierre et Marie Curie, where Guillaume designed an automatic music transcription system and published a research article. In recent years, Guillaume has held positions at Kpler, progressing from data engineer to data scientist and currently serving as a senior data scientist. Educationally, Guillaume holds multiple degrees in applied mathematics from institutions including Université Paris-Saclay and Université Paris Dauphine.
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