📅 2025-06-08 — Session: Comprehensive Financial Analysis and Visualization
🕒 20:25–21:00
🏷️ Labels: Financial Analysis, Debt Management, Data Visualization, Python, Pandas
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session aimed to analyze and visualize various aspects of financial management, focusing on debt management and cash flow analysis within the Caja PM framework.
Key Activities
- Conducted a thorough analysis of the relationship between accumulated debt and cash flow, providing insights and recommendations for financial management.
- Examined the personal management of PM as a financial entity, highlighting issues with debt accumulation and repayment mechanisms.
- Proposed a stacked area chart to visually represent cumulative income, expenses, and cash flow, enhancing accounting intuition.
- Analyzed debt progression in pesos and USD, identifying trends, stability periods, and potential risks, along with strategic recommendations.
- Developed a step-by-step guide for calculating net financial position using cumulative revenue and debt, supported by Python code.
- Integrated Saldo PM MI into net position calculations and visualized the data using Python and Pandas.
- Resolved common overlap errors in Pandas DataFrame merges, providing solutions for effective data manipulation.
Achievements
- Successfully analyzed and provided insights into debt management and financial strategy.
- Developed clear visualizations to aid in financial decision-making.
- Addressed technical challenges in data manipulation with practical solutions.
Pending Tasks
- Implement the proposed visualizations and integrate them into regular financial reporting.
- Further refine debt management strategies based on the insights gained.
- Explore additional data sources to enhance the accuracy of financial models.