Fintech-Data-Parser

Financial Data Parser - High-Performance Financial Data Processing Toolkit A production-grade system for parsing, analyzing, and querying financial data in Excel formats with AI-powered type detection and vectorized processing.

🔍 Overview

Financial Data Parser is an optimized Python pipeline for processing banking and financial Excel data. It automates:

• Column type detection with confidence scoring
• Multi-format financial amount parsing
• Date recognition with 20+ financial formats
• Indexed storage with advanced query capabilities
• End-to-end benchmarking

⚡ Features

• Excel Intelligence: Automatic sheet/column analysis
• Financial Format Support:
  • Currencies: USD, EUR, INR, JPY, GBP
  • Negative formats: (1,234.56), 1234.56-
  • Abbreviations: 1.2K, 3.5M, 2.1B
• Query Engine:
  • Amount/date range queries
  • Aggregations
  • SQL fallback
• Dashboard: Streamlit-based UI for interactive analysis
• Benchmarking: Performance metrics for all components

🛠️ Tech Stack

• Core: Python 3.8+, pandas, NumPy
• Storage: SQLite + pandas with smart indexing
• Dashboard: Streamlit, Plotly
• Testing: pytest

📊 Performance Highlights

• Vectorized amount parsing (50k rows/sec)
• Indexed O(log n) query performance
• Multi-threaded processing
• Memory-efficient storage

💼 Use Cases

• Bank statement analysis
• Customer ledger processing
• Financial report automation
• Accounting system integration
• Financial data migration