Chrisgone Adede

Chrisgone is an enthusiast in data-driven decision-making and its impact on program design. He has worked across different sectors including micro-finance, medical research, banking and drought risk management. He is interested in the application of machine learning models and model ensembles to improve prediction outcomes for rare events. As a data scientist, Chrisgone has taken up challenges in behavioral credit scoring and prediction of future severe-to-extreme drought conditions and would like to use these experiences at Medic. He loves learning facets of different languages in his spare time to enable him to enjoy music from different cultures.