Nomessi Kokutse is a data scientist with more than ten years of experience, specializing in applications of data science methods in different areas of climate, mass transit, environment, water sciences and agriculture. He was associated with various projects in Togo, Burkina-Faso, Vietnam, China, France, and Canada.
As an expert for the Technical Assistance Partnership (TAP) initiative, Nomessi collaborates with the Government of Cameroon’s National Observatory on Climate Change (ONACC) to address the country’s highly coastal and vulnerable areas threatened by the effects of climate change which negatively impacts sectors such as agriculture, livestock farming, and water supply. He provides technical assistance to develop current climate information to improve resilience to climatic shifts and strengthen their ability to protect their livelihoods and reach end users in rural areas.
Based in Quebec City, Nomessi is a data scientist with the Quebec Public Transport Agency, Reseau de Transport de la Capitale (RTC). His work involves various applications of data science methods to public transport for transit ridership modelling, transport demand modelling, etc. His passion for data and models in the decision-making process was part of his Ph.D. in Engineering Sciences at the University of Bordeaux, France. Nomessi also holds a Master of Science in Engineering from the University of Lomé, Togo.