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Skills

  • Data Science

    • Analysis​

    • Visualisation

    • Statistical modelling (linear, log-linear, additive, mixed effects, bayesian)

    • Developing and building process-based analytical models

    • Data interpretation

  • Research

    • literature review​

    • meta-analysis

  • ​Project Management​

  • Presenting at conferences

  • Scientific and non-scientific writing

  • Committee membership

Software

  • R - Advanced:

    • e.g. ggplot, dplyr, tidyr, maps, shinyR, ​markdown

  • Python - Beginner

  • C# - Intermediate

  • git  and github version control - Intermediate

  • Matlab - Beginner

  • Tableau - Intermediate

  • ArcGIS - Beginner

  • Adobe Photoshop CS 6 - Advanced

  • MS Windows - Proficient 

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