Daniel Hough is a mathematician, statistician and data-analyst. Having worked in the areas of traffic modelling, behavioural analysis and transport planning since 2007, his recent work with Optibid has been focused on the optimisation of PPC casino marketing campaigns using statistical techniques and data engineering to ensure improvements to investment returns.
He is an accomplished mathematician with meticulous attention to detail and an extensive knowledge of commercial mathematics. Daniel also has a strong interest in exploratory analysis, problem solving, big data, and machine learning.
He specialises in building and optimising learning algorithms used for targeting results. This involves the use of custom functions, applications, analysis, and optimised bids for online PPC advertising.
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