Mercado Libre Growth Analysis Challenge

Welcome to the Mercado Libre Growth Analysis Challenge. As a growth analyst at Mercado Libre, the most popular e-commerce site in Latin America, you're tasked with analyzing the company's financial and user data to identify growth opportunities. This project focuses on exploring how search traffic can influence stock trading strategies and overall company growth.

Background

Mercado Libre, with over 200 million users, stands as the e-commerce titan in Latin America. The company's vast user and financial data hold insights into consumer behavior and company performance. This challenge explores these datasets to uncover growth strategies through predictive analysis.

Before You Begin

Create a repository for this project named prophet-challenge.
Clone your new repository to your computer.
Add the starter files to your local repository.
Push the changes to GitHub or GitLab.

This project utilizes Google Colab for analysis; ensure to download your notebook and add it to your repository upon completion.

Challenge Overview

The challenge is divided into four steps:

Find Unusual Patterns in Hourly Google Search Traffic: Identify any correlations between search traffic and significant company financial events.
Mine the Search Traffic Data for Seasonality: Discover patterns in search traffic that could assist in marketing strategies.
Relate the Search Traffic to Stock Price Patterns: Explore any relationships between search data and stock price movements.
Create a Time Series Model with Prophet: Develop a forecasting model to analyze and predict future search traffic trends.

Instructions

Step 1: Find Unusual Patterns in Hourly Google Search Traffic

Analyze Google search traffic data for Mercado Libre and connect any unusual patterns to financial events within the company.

Step 2: Mine the Search Traffic Data for Seasonality

Investigate hourly search data for seasonal trends that could inform marketing efforts.

Step 3: Relate the Search Traffic to Stock Price Patterns

Examine the relationship between search traffic and Mercado Libre's stock price, looking for predictable patterns.

Step 4: Create a Time Series Model with Prophet

Use Prophet to create a time series model of hourly search data, analyzing and forecasting search traffic trends.

Files

Download the challenge files from the provided link. Ensure your .env file contains the necessary API keys and is included in your .gitignore to avoid exposing sensitive information.

Submission

Your GitHub repository should contain all the scripts, notebooks, and README documentation.
Ensure your repository is well-organized and includes a detailed README.md.

Repository Link

Ensure to replace YOUR_USERNAME with your actual GitHub username in the clone command:

git clone https://github.com/YOUR_USERNAME/prophet-challenge.git

For the actual repository, visit: https://github.com/CREAITIVE-THINKING/prophet-challenge.

Good luck, and happy analyzing!

CREAITIVE-THINKING/Forecasting_Net_Prophet