Lucien Gauchet, PhD, has a diverse work experience in the field of data science and physics. Lucien started their career as a Data Science Fellow at DataScientest.com, where they gained expertise in data manipulation, machine learning, models, text mining, deep learning, data visualization, big data, and versioning. Lucien also led a group project on handwritten mathematical formula recognition.
Prior to that, Lucien worked as a PhD student at Paris Observatory, where they conducted research in an observational astrophysics laboratory. Lucien also had internships at Paris Observatory, APC Laboratory, and Institut de Physique de Rennes - UMR CNRS 6251, where they gained hands-on experience in experimental development, data acquisition and analysis, and theoretical modeling.
Overall, Lucien Gauchet has a strong background in data science and physics, with expertise in various tools and techniques used in these fields.
Lucien Gauchet, PhD, has an extensive education history in the field of Astronomy and Astrophysics. Lucien obtained their PhD from Université Paris Cité, where they studied from 2013 to 2017. Prior to that, they completed their Master's degree in Astronomy and Astrophysics from the same university, studying from 2010 to 2013. Lucien Gauchet also holds a Licence degree in Physics, which they earned from Université de Rennes I, where they studied from 2007 to 2010.
In addition to their formal education, Lucien Gauchet has obtained several certifications related to data science and machine learning. These certifications were obtained from DataScientest.com, and they include Convolutional Neural Network, Machine learning with PySpark, Network Analysis, Recurrent Neural Network, Text Mining, Clustering, Dimensionality reduction, Data Analysis with data.table, Data Visualization with ggplot2, Data-visualization with Bokeh, Data-visualization with Matplotlib, Introduction to Python for data-science, Introduction to natural language processing, Machine learning, and Machine learning with Scikit-learn. Lucien also completed an Introduction to R for data-science certification.
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