Laurent LABORDE

Laurent LABORDE has over 15 years of work experience in various roles and industries. Laurent is currently working at UnaBiz as a Project Leader since April 2022. Previously, they were a Project Leader at Sigfox from May 2021 to April 2022. Between 2008 and 2020, they worked at PLANITEC as a Consultant in project management, where they gained extensive experience in the industrial sector, particularly in aerospace and defense. Laurent also had a role as an EngineeREADr projects at Perceptron from October 2006 to April 2008, where they were responsible for project management and technical support for automotive assembly lines. Laurent completed an internship at Dassault Aviation in the Quality and Methods department in 2006. Additionally, they have been actively involved in Roller Derby Toulouse since 2010, contributing to the development of the sport at both club and national levels.

Laurent LABORDE's education history is as follows:

In 2020, Laurent attended DataScientest.com and obtained a degree in Data Science. The field of study for this degree was Data.

In 2016, Laurent attended Dataquest.io and obtained a degree in Data Analyst / Data Scientist. The field of study for this degree is unknown.

From 2001 to 2006, Laurent attended Polytech Nancy, where they obtained a degree in Ingénieur généraliste. The field of study for this degree is unknown.

In 2004 and 2005, Laurent participated in an exchange program at Universidad Pontificia Comillas, which lasted for two semesters. The field of study for this program is unknown.

Additionally, Laurent has obtained various certifications, including Professional Scrum Product Owner I (PSPO I) from Scrum.org in March 2021 and certifications in multiple data science-related topics from DataScientest.com, obtained between October and December 2020. These topics include Convolutional Neural Network, Introduction to TensorFlow, Network Analysis, Object Oriented Programming for Python Beginner, Reinforcement Learning, SQL for Data Science, Webscraping with Python, Text Mining, Advanced Machine Learning with Scikit-learn, Clustering, Dimensionality Reduction, Introduction to Deep Learning with Keras, Machine Learning with PySpark, Regression, Text and Sentiment Analysis, Time Series Analysis, Data-visualization with Matplotlib, Data-visualization with Seaborn, and Exploratory Statistics for Data Analysis.