Thomas LOUIS

Thomas LOUIS has worked in the field of data science since 2015. Thomas began their career as an Intern R&D at ISoft, where they implemented graph clustering algorithms and a personalized PageRank-like algorithm using C++ and the AMADEA platform. Thomas also used Python and Scipy/Networkx libraries to benchmark their graph clustering algorithm and used data mining and machine learning algorithms to create a predictive model for fraudulent transaction detection. In 2014, Thomas LOUIS interned at BIOMETRY A. G, where they implemented a facial recognition algorithm in JNI and worked on biometric authentication on the cloud for e-banking using Python and SQL. From 2015 to 2018, Thomas LOUIS worked as a Data Scientist Consultant at Amadeus IT Group, followed by a role as a Data Scientist at Finastra from 2018 to 2020. Thomas currently works as a ML & CV Engineer at Therapixel since 2022.

Thomas LOUIS completed a Master's degree in Ingenieurie informatique from ENSICAEN between 2012 and 2015. Thomas also completed a Master of Science (MSc) in Securite/surete de l'information des systemes informatiques from Universite de Caen Normandie between 2013 and 2015. In 2017, Thomas obtained a Machine Learning - Stanford certification from Coursera Course Certificates in February. Thomas also holds certifications from Coursera in Convolutional Neural Networks, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Neural Networks and Deep Learning, Sequence Models, and Structuring Machine Learning Projects.