Data Analyst
CurrentPerformed data cleaning, analysis visualisation for a range of short- and long- term animal epidemiology projects using R and a range of statistical methodology (both Frequentist and Bayesian).Contributed to the development of farm management and disease diagnosis software for collection of, analysis of and generation of recommendations from data:- Adapted and implemented a Python-based disease diagnosis algorithm.- Worked within a team to design and build a SQL-based relational database and web-interface for data input, analysis and collection of results.- Conducted statistical analyses and modelling to test efficacy of various animal treatments (regression, generalised linear models, non-inferiority testing).Developed, optimised and parallelised R code for disease outbreak risk assessment models.Delivered aural presentations of findings at scientific conference (ANZCVS Science Week, 2023).Developed and presented an internal upskilling course on R programming.Contributed to several project tender applications and reviewed grant applications for a range of potential consulting jobs and research projects.