This case is used for hiring Data Analysts for the iFood Brain team.

In this case, you are presented a sample dataset, that mocks metainformation on the customer and on iFood campaign interactions with that customer.

Challenge:

• Understand the data
• Find business opportunities & insights
• Propose any data driven action to optimize the campaigns results & generate value to the company.

The following are the minimum required deliverables:

1. Explore the data – be creative and pay attention to the details. You need to provide the marketing team a better understanding of the characteristic features of respondents;
2. Create and describe a customer segmentation based on customers behaviors;
3. Create and describe a predictive model (classification) which allows the company to maximize the profit of the next marketing campaign.

What we expect as your solution to be submitted:

1. A detailed and well-organized notebook (or equivalent code file) to be presented to technical stakeholders.
2. A Power Point (or similar tool) presentation to be presented to business stakeholders.

You can find the following files:

File Name	Description
ifood Data Analyst Case.pdf	Case's instructions
ml_project1_data.csv	Data containing socio-demographic and firmographic features of 2240 customers
ifoodCase.ipynb	Code containing the exploratory analysis, customers segmentation and predictive model aiming to increase the next Marketing Campaign succes rate
ifood_CRM_Data_Analyst_Case.pptx	Powerpoint presentation to be presented to business stakeholders
ifood_CRM_Data_Analyst_Case.pdf	Pdf version of presentation