Fido
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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Fido
Fido is on a mission to empower individuals and entrepreneurs to take advantage of opportunities in Africa. Built on advanced technology that enables fast, easy and secured access to digital financial services. Our independent financial platform and unique machine learning risk models make instant credit decisions for customers with no financial track record while reducing operational costs. But we’re not just about digitizing financial services. For the first time, we are introducing the Fido Score. Fidoscore shifts power back to the people by empowering them to build and maintain a digital financial track record. Now our customers can create their own digital financial identity, and reap the benefits of being visible to the financial system. We educate customers to improve their Fido score and adopt smart financial habits.