Aime Bambarinkenga is an accomplished data scientist at Vuba Vuba Africa, concurrently pursuing a Master of Science in Electrical and Computer Engineering with a specialization in Applied Machine Learning at Carnegie Mellon University. He has undertaken impactful data science projects, including predicting the Multidimensional Poverty Index (MPI) using night light intensity in Rwandan sectors and developing an advanced recommender system for the Vuba Vuba app to enhance user experience. He also currently serving as a data engineer fellow at Wastezon through the Constellations Cohort Fall 2023. Aime has a unique ability to distill complex insights into accessible reports, suitable for both technical and non-technical audiences. For organizations seeking an adept problem solver adept at translating data into actionable solutions, Aime Bambarinkenga stands as an invaluable resource