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+# <div align="center">ABANCA – Banking Statement Analysis & Automation Platform</div>
+
+---
+
+## <div align="center">Overview</div>
+
+ABANCA is a Python-based financial automation and banking statement analysis platform developed to process, classify and visualize banking transaction data automatically.
+
+The project focuses on automating financial workflows through:
+
+- Excel data processing
+- Banking transaction normalization
+- Financial classification
+- KPI generation
+- Automated reporting
+- Data visualization
+
+The notebook combines data science techniques with financial process automation to simplify banking reconciliation and financial monitoring operations. :contentReference[oaicite:0]{index=0}
+
+---
+
+# <div align="center">Main Features</div>
+
+## Banking Statement Processing
+
+- Import banking statement files
+- Automatic data normalization
+- Transaction categorization
+- Financial movement processing
+- Date formatting automation
+
+---
+
+## Financial Classification
+
+The system automatically classifies:
+
+- Debit transactions
+- Credit transactions
+- Banking movements
+- Financial operations
+- Account balances
+
+---
+
+## Data Cleaning & Transformation
+
+- Null value handling
+- Currency normalization
+- Column standardization
+- Duplicate detection
+- Invalid entry filtering
+
+---
+
+## Financial Reporting
+
+- Summary generation
+- KPI calculations
+- Transaction statistics
+- Balance analysis
+- Aggregated reporting
+
+---
+
+# <div align="center">Technologies Used</div>
+
+| Technology | Purpose |
+|:---:|:---:|
+| Python | Main programming language |
+| Pandas | Financial data processing |
+| NumPy | Numerical operations |
+| Matplotlib | Data visualization |
+| OpenPyXL | Excel compatibility |
+| Jupyter Notebook | Interactive development environment |
+
+---
+
+# <div align="center">Project Structure</div>
+
+```txt
+.
+├── ABANCA.ipynb
+├── Input_Files/
+├── Output_Reports/
+├── Charts/
+└── README.md
+```
+
+---
+
+# <div align="center">Requirements</div>
+
+## Python Version
+
+```txt
+Python 3.10+
+```
+
+---
+
+# <div align="center">Required Libraries</div>
+
+Install dependencies:
+
+```bash
+pip install pandas numpy matplotlib openpyxl
+```
+
+---
+
+# <div align="center">Running the Application</div>
+
+Launch Jupyter Notebook:
+
+```bash
+jupyter notebook
+```
+
+Open:
+
+```txt
+ABANCA.ipynb
+```
+
+Execute all notebook cells sequentially.
+
+---
+
+# <div align="center">Supported Input Formats</div>
+
+| Format | Description |
+|:---:|:---:|
+| `.xlsx` | Excel banking statements |
+| `.csv` | Transaction exports |
+| `.xls` | Legacy Excel statements |
+
+---
+
+# <div align="center">Main Functionalities</div>
+
+## Transaction Analysis
+
+The system processes:
+
+- Transaction dates
+- Descriptions
+- References
+- Debit values
+- Credit values
+- Running balances
+
+---
+
+## Financial Aggregation
+
+The notebook automatically generates:
+
+- Daily summaries
+- Monthly summaries
+- Account movement analysis
+- Transaction frequency statistics
+- Financial totals
+
+---
+
+## Data Visualization
+
+The project supports:
+
+- Financial charts
+- Transaction trend analysis
+- KPI dashboards
+- Summary visualizations
+
+---
+
+# <div align="center">Workflow</div>
+
+```txt
+Bank Statement Import
+          ↓
+Data Cleaning
+          ↓
+Normalization
+          ↓
+Transaction Classification
+          ↓
+Financial Aggregation
+          ↓
+KPI Calculation
+          ↓
+Report Generation
+          ↓
+Visualization
+```
+
+---
+
+# <div align="center">Generated Output</div>
+
+The system can generate:
+
+- Cleaned Excel files
+- Financial summaries
+- Transaction reports
+- KPI analysis
+- Graphical dashboards
+
+---
+
+# <div align="center">Data Processing Capabilities</div>
+
+## Cleaning Operations
+
+- Empty row removal
+- Date parsing
+- Numeric conversion
+- Currency formatting
+- Invalid record filtering
+
+---
+
+## Analysis Operations
+
+- Movement counting
+- Total debit calculation
+- Total credit calculation
+- Net balance computation
+- Financial trend analysis
+
+---
+
+# <div align="center">Intended Use Cases</div>
+
+- Banking reconciliation
+- Treasury analysis
+- Financial auditing
+- Banking statement normalization
+- Financial KPI reporting
+- Accounting support
+- Financial automation workflows
+
+---
+
+# <div align="center">Notebook Features</div>
+
+The notebook environment allows:
+
+- Interactive analysis
+- Dynamic filtering
+- Incremental execution
+- Rapid financial experimentation
+- Visualization customization
+
+---
+
+# <div align="center">Future Improvements</div>
+
+- PDF report export
+- Power BI integration
+- Database integration
+- Real-time banking synchronization
+- AI-assisted financial anomaly detection
+- Automated reconciliation engine
+- Web dashboard interface
+
+---
+
+# <div align="center">Security Notes</div>
+
+This project may process sensitive financial data.
+
+Users should:
+
+- Protect banking files
+- Avoid sharing sensitive exports
+- Secure generated reports
+- Validate all processed outputs before operational usage
+
+---
+
+# <div align="center">Disclaimer</div>
+
+This project was developed for financial automation and analytical purposes.
+
+Users remain responsible for validating all financial calculations and generated reports before official or accounting usage.
+
+---
+
+# <div align="center">Author</div>
+
+José Garcia  
+Data Scientist  
+Process Digitalization & Automation