Emile Bondzie-Arthur is a seasoned Data Engineer at Fido, where responsibilities include developing data infrastructure for real-time credit models and enhancing collection processes through MLOps. Previously, Emile worked as a Machine Learning Engineer on the Zzapp malaria project at Omdena, and contributed to community-driven data analysis and sentiment classification projects. Emile's experience also includes roles as an Intel Edge AI Scholar at Udacity, and a Data Science Fellow, alongside earlier positions such as Assistant Project Engineer at the Electricity Company of Ghana Limited and an intern at the University of Cape Coast's Theoretical Physics Lab. Education includes a Bachelor's degree in Physics from the University of Cape Coast, along with several Nanodegrees in Artificial Intelligence from Udacity.
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