The main goal of this project is to select use cases, leverage a distributed SQL engine, connected to data sources to create a data science models, identify programmable insights and dashboard charts to visualise and communicate insights. The key purpose is to enable collect for range of use cases, collection of end to end data science pipeline work

• Analysing the existing data sources and considering the data quality and availability 
• Developing a data science model 
• Consider and apply ways to clean the data if necessary making it suitable for analysis 
• Optimising model performance and assessing areas of improvement 
• Researching other variables that could enhance and improve the model 
• Testing the developed model and making adjustments as necessary 
• Presenting initial findings on the data with an engaging data narrative 
• Develop/identify initial interactive data visualisations that allow for the user to explore the data available 

Access to all available data and systems, mentorship time with our engineering team, support with key metrics and performance indicators, and overall supervision