Advertisement budget allocation refers to the problem that if I have 1000 pounds how much should I put into this account in Google and this other account in Facebook so I acquire the maximum amount of customers possible? In this talk, Billy is going to walk through an internal project to optimise budget allocation across different advertisement channels in EF and this approach has the potential impact of millions in ad spend a year. He is also going to share some pointers for ML in production since he started working in industry a year ago.
About the speaker
Billy Zhao is currently a senior data scientist at Education First where he works in the marketing team to use ML methods to optimise EF's ad spend across different business units and different markets. Previously, Billy was working as a Data Science for Social Good fellow at Alan Turing Institue and he holds a M.Eng from University of Cambridge in information and computing engineering.
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