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.
- Understand the data
- Find business opportunities & insights
- Propose any data driven action to optimize the campaigns results & generate value to the company.
- 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;
- Create and describe a customer segmentation based on customers behaviors;
- 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:
- A detailed and well-organized notebook (or equivalent code file) to be presented to technical stakeholders.
- 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 |