Submission for the Philippine Junior Data Science Challenge 2
Segmentation of Core Mass clients from far-flung areas based on client information and behavior from April to June 2023. Market and product recommendations, and next best actions per created segment.
Welcome to Challenge 2 of this year’s Philippine Junior Data Science Challenge! This exercise aims to test your general ability to clean and process data, your ability to produce client groups based on given data, as well as your ability to present your results. In particular, you will be working with our Core Mass clients, who make up the bulk of our customer population, thus making them an important part of our business.
For this challenge, you are tasked to create segments for Core Mass clients based in far-flung areas through their demographics and behavior exhibited from April to June 2023. You are also tasked to recommend products and next best actions for each segment you create. How exactly you will perform these tasks is up to you, but do not forget to provide details for each step you take; there is a scoring system to determine who will make it to the next round.
In addition, you will be answering five (5) questions related to our listed goals for this exercise. These questions are provided to guide you in your Challenge 2 journey as you explore the best ways to cater to various Core Mass clients. Nevertheless, your answers to these questions will also be considered in final evaluations, so make sure to provide substantial output here as well.
https://sentriolions-pjdsc.streamlit.app/
The simplest way is to download the ipynb file and upload to your jupyter notebook or google colab and run. All the dependencies used are very primitive and doesn't need extra installation in colab
Make sure to create a dataset folder and add all the excel files
To run this project in vscode, make sure you have the python intalled. You can also run the project by doing the following:
$ python -m venv venv
$ source venv/scripts/activate
$ pip install -r requirements.txt$ source venv/bin/activate for mac or linux
In vscode, install https://marketplace.visualstudio.com/items?itemName=ms-toolsai.jupyter to run the commands locally