Financial Stability and Performance Analysis

The project code and process is on GitHub:

Used descriptive and inferential techniques to analyze debt-to-equity dynamics, measure profitability, and evaluate overall financial health. The project involved cleaning and validating financial data, computing key ratios such as Debt-to-Equity, Debt-to-Income, and Profit Margin, and visualizing their relationships across multiple business segments. Insights from the analysis highlight how leverage and revenue interact to influence financial stability, identifying both well-balanced and high-risk profiles. This work demonstrates proficiency in Python-based analytics, statistical interpretation, and data-driven financial evaluation.

Video Presentation of the Project: