Kévin Bouchaud is a data science trainee with a PhD in astrophysics and over eight years of research and programming experience spanning modeling, data processing, and visualization. He is currently an Alternant en Data Science at CYTOO (since 2022) and is pursuing the Data+ program at Campus Numérique in the Alps, Grenoble. His doctoral work unified 2D interior stellar models (ESTER) with atmosphere models (PHOENIX) to determine physical parameters of rapidly rotating stars, integrating data from interferometry, spectroscopy and asteroseismology (VLTI/GRAVITY, VLTI/PIONIER, ELODIE, WIRE). He is proficient in Python, data modeling, analysis and visualization, with demonstrated skills in research communication in English and thesis writing in French. Based in Grenoble, he combines a rigorous scientific background with a pragmatic data science mindset, ready to translate research-grade analytics into concrete, data-driven solutions.
8 years of coding experience
Licence, Physique théorique et mathématique, Mention Bien, Licence, Physique théorique et mathématique, Mention Bien at Université Blaise Pascal (Clermont-II) - Clermont-Ferrand
Master's degree, Physique, parcours Cosmos, Champs et Particules, Mention Bien, Master's degree, Physique, parcours Cosmos, Champs et Particules, Mention Bien at Université des Sciences et Techniques du Languedoc (Montpellier II)
Doctorat, Astronomy and Astrophysics, Doctorat, Astronomy and Astrophysics at Université Côte d’Azur
Formation Data+, Data Science, En cours, Formation Data+, Data Science, En cours at Campus Numérique in the Alps
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