This repository contains a Python-based data analysis project focused on visualizing and comparing the stock prices and revenue trends of two major companies: Tesla (TSLA) and GameStop (GME). The project simulates a real-world data science scenario where an investment firm analyzes company performance based on financial and market data.
As a Data Scientist working for an investment firm, the goal of this project was to:
- Extract and clean revenue and stock price data
- Analyze historical trends
- Build a dynamic dashboard to compare the relationship between stock prices and revenues
- Provide actionable insights based on data visualization
- 🚗 Tesla, Inc. (TSLA)
- 🎮 GameStop Corp. (GME)
These companies were chosen due to their unique market behaviors and significant media coverage, offering contrasting business models and volatility.