About

Emmanuel Abiola is an accomplished Analytics professional with over 8 years of relevant experience in the field. He is currently working as a Data & Analytics Researcher at Google DeepMind, a leading artificial intelligence research organization. As a Research Scientist, he is responsible for analyzing large datasets and developing machine learning algorithms that can be used to solve complex business problems. Emmanuel has a strong background in Electronics & Computer Engineering, having completed his Bachelor of Engineering from the University of Nottingham. He also holds a MicroMasters in Statistics & Data Science from the Massachusetts Institute of Technology. In addition, he has attended Y Combinator, St Charles Sixth Form College, and Bishop Challoner Catholic Collegiate School. Prior to his current role at Google DeepMind, Emmanuel worked as a Data Solutions Lead at Google Cloud, where he was responsible for designing and implementing data solutions for clients. He has also worked as a Product Manager at Helium Health, a Y Combinator Summer 2017 Batch company. Emmanuel is a highly skilled Analytics professional with expertise in data analysis, machine learning, and statistical modeling. He has a strong understanding of various programming languages such as Python, R, and SQL. He is also proficient in tools such as TensorFlow, PyTorch, and Keras. Overall, Emmanuel Abiola is a highly motivated and skilled Analytics professional with a proven track record of delivering high-quality results. He is passionate about using data and analytics to solve complex business problems and is committed to staying up-to-date with the latest industry trends and technologies.