Skander Chouchene is a skilled Transit Data Specialist at MobilityData since September 2024, focusing on analyzing GTFS data trends and coordinating improvements for public transit data specifications. Previously, Skander held roles as a Senior Data Analyst and Data Analyst at Citymapper from January 2023 to August 2024, enhancing public transit planning solutions and managing transit data pipelines. Earlier experience includes a notable internship at BIAT, where forecasting exchange rates using deep learning was undertaken, and a high honors research internship at CentraleSupélec involving statistical modeling of urban design effects on pedestrian mobility. Skander also served as a Technical Data Support Specialist at Concordia Continuing Education, teaching machine learning concepts. Skander holds a Master of Applied Science in Quality Systems Engineering with a focus on Artificial Intelligence from Concordia University and has a strong educational background in mathematics and engineering from esteemed institutions in Tunisia.
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