Mohamad Chhaytle

Background

About Mohamad Chhaytle

Currently, I am working as a Researcher Data Scientist at Keley Consulting, where I apply my expertise in artificial intelligence, machine learning and data analysis to provide valuable insights and solutions to our clients. My doctoral research focused on the analysis and prediction of population dynamics using Mathematics and Machine Learning techniques. I employed methods such as regression, GLM, and big data processing to examine population models and trends. By combining the system identification approach with variable-parameter partial differential equations, I developed a robust methodology for modeling complex population dynamics. I also conducted numerical simulations using methods such as Crank-Nicolson and Splitting, integrating them with Machine Learning models. These integrated approaches allowed me to accurately represent the intricate interactions within population systems and provide reliable predictions on population evolution. In parallel to my thesis, I followed a distance learning course on the Udemy platform, during which I deepened my knowledge in Python and R, in data analysis and data visualization, in machine learning, deep learning, AI, ChatGPT, big data, and database. These skills allow me to apply innovative approaches to my work and to obtain more accurate and reliable results. Finally, I also taught at the IUT of Poitiers in embedded programming, industrial computing, specialized automation, and electronic board manufacturing. This experience allowed me to acquire practical skills in the design and development of electronic systems. I also taught core mathematics like differential equations, Fourrier series and integral calculus at National Engineering School of Poitiers.