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Data Analytics:

1. Codify, manipulate and analyse data for use in functional and business units

2. Identify and develop methodologically sound and reproducible approaches for analysing datasets that are often large and/or messy.

Decision Making:

1. Drawing from various information sources, analyse, visualise and communicate insight regarding what has happened.

2. Create models and software that predicts what is going to happen or prescribe what should happen.

Problem-Framing:

1. Frame industry problems as analytical problems and use statistical analysis to solve them

2. Create the datasets and analytical tools necessary to solve industry problems and/or innovate

Expert in Analytical tools such as:

Python(Spyder)

IDEA

Tableau

PoweBI

Microsoft Excel