Mohamed Mouine

Mohamed Mouine is a skilled professional with a Ph.D. in computer science from the Université de Montréal, specializing in artificial intelligence, machine learning, and natural language processing (NLP). He possesses seven years of diverse experience in data analysis, machine learning, deep learning, and NLP, gained through roles at reputable organizations.

His educational background includes a Master's degree in Computer Science from Université Laval, a Doctor of Philosophy in Informatique from Université de Montréal, and specialized studies in Data Science: Data to Insights and machine learning at the Massachusetts Institute of Technology and informatique appliquée à la gestion at Institut Supérieur de Gestion.

Mohamed has held key positions such as Senior Data Scientist at Morgan Stanley, Data Scientist (Machine Learning) at reDock, and Programmer Analyst NLP at Koneka, showcasing his diverse skill set and adaptability. He has a keen interest in working in innovative environments and is open to challenges that push the boundaries of technology.

Throughout his career, Mohamed has demonstrated a strong foundation in cutting-edge technologies, a passion for innovation, and a commitment to excellence in the fields of artificial intelligence, machine learning, and NLP.