William Guest

I specialise in non-functional acceptance testing and analysis and have experience building validated statistical instruments, optimising structural equation models and performing statistical and semantic analysis.

I use a variety of statistical methods, including EFA, CFA, PCA and number of factors. Models and insights are informed by metrics such as complexity, uniqueness and several measures of correlation and tested against both absolute and relative measures of fit, where appropriate.

My preferred toolkit includes R Studio, SEM and a range of visualisation apps, such as Excel or PowerBI, though increasingly I am moving torwards web-based solutions, such as Shiny.

PhD in Computing and Mathematics

BSc. in Theoretical Physics