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Patrick Kamnang Wanko, PhD, has a strong academic and professional background in data science and research. Patrick is currently working at Explain as an Engineering Manager since November 2022 and previously held the position of Data Science Project Manager from June 2019 to November 2022. Prior to Explain, they worked as a Senior Data Scientist at Capgemini Invent from May 2017 to May 2019. Patrick also gained experience as a Chercheur at the Laboratoire Bordelais de Recherche en Informatique (LaBRI) from February 2014 to February 2017. Before that, they worked as a Research Associate at Optum France from April 2013 to October 2013. In 2012, they briefly worked as a Chargé d'études statistiques at Crédit Agricole.

Patrick Kamnang Wanko, PhD, has an extensive education history in the fields of statistics, data mining, big data, and computer science. In 2003, they obtained a Maitrise en Informatique (Master's degree) in Computer Science with a specialization in operations research and numerical methods from the University of Yaoundé I. From 2007 to 2011, Patrick pursued further studies at the Institut Sous-régional de Statistique et d'Economie Appliquée, earning an Ingenieur degree in Statistics.

In 2011, they enrolled at ENSAI, where they studied statistics, data mining, big data, and computer science, and completed their Ingenieur degree in 2013. Building upon this foundation, Patrick pursued a Doctorate in Computer Science at the University of Bordeaux from 2014 to 2017.

In addition to their formal education, Patrick Kamnang Wanko has also obtained various certifications in the field of machine learning. These include certificates in Neural Networks and Deep Learning, Structuring Machine Learning Projects, Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, Convolutional Neural Networks, and Sequence Models, all obtained through Coursera Course Certificates between 2017 and 2019. This demonstrates their dedication to staying current and expanding their knowledge in the rapidly evolving field of machine learning.