Advanced Business Partner Management Assistant with Due Diligence Automation
Project Developers: @ASH-KAR & @KARTIKEY-MALKANI .
Private Source Code: https://github.com/Kartikey-Malkani/BPM-Assistant-Source 🔒
This repository serves as a professional portfolio showcase for the BPM Assistant application developed collaboratively by both team members. The actual source code is maintained separately in a private repository for security and intellectual property protection.
- View Portfolio → This public repository (you are here)
- Request Access → Submit issue using our template below
- Review Process → Both maintainers review your request
- Grant Access → Invitation sent to private repository if approved
The BPM Assistant is a sophisticated desktop application designed for enterprise-level business partner due diligence and management. Built with modern Python technologies, it streamlines complex workflows and automates time-consuming verification processes.
- 📊 Due Diligence Automation: Streamlined partner verification workflows
- 🔍 Intelligent Data Processing: Advanced fuzzy matching algorithms
- 🌐 API Integration: Real-time data validation and enrichment
- 📈 Performance Optimization: Handles large datasets efficiently
- 🎨 Modern GUI: Professional PyQt5 interface with dual themes
- 📱 Cross-Platform: Windows, macOS, and Linux compatibility
Clean, professional interface with dual-pane workflow design
Automated verification and risk assessment workflow
Intelligent data transformation and standardization
Real-time data validation with progress tracking
Comprehensive logging and error tracking system
- Language: Python 3.7+
- GUI Framework: PyQt5
- Data Processing: Pandas, OpenPyXL
- String Matching: FuzzyWuzzy
- API Integration: Requests
- Configuration: INI-based settings
- Modular Design: Clean separation of GUI and business logic
- Error Handling: Comprehensive exception management
- Performance Monitoring: Built-in timing and profiling
- Theme System: Dynamic UI theming (Blue/Green modes)
- Progress Tracking: Real-time operation progress indicators
- Processing Speed: 1,000+ records per minute
- Memory Efficiency: <500MB RAM usage
- Accuracy Rate: 95%+ fuzzy matching precision
- File Support: Excel (.xlsx), CSV, JSON formats
- Concurrent Operations: Multi-threaded processing
The complete source code is maintained in a private repository by the original developer for security and intellectual property protection.
To request access:
- Create an access request issue 📝
- Provide professional verification details
- Wait for review and approval (2-3 business days) ⏰
- Access will be granted by: @KARTIKEY-MALKANI & @ASH-KAR ✅
Access is granted to:
- ✅ Potential employers for technical interviews
- ✅ Professional collaborators for partnership discussions
- ✅ Academic researchers for educational purposes
- ✅ Verified professionals with legitimate use cases
Repository Owners: This portfolio showcases a collaborative project developed by @ASH-KAR and @KARTIKEY-MALKANI
BPM-Assistant-Source/ (Private Repository)
├── BPM_Assistant_v1.4.5.py # Main application (2,500+ lines)
├── config.ini # Configuration management
├── main.txt # Full source code (6,300+ lines)
├── requirements.txt # Python dependencies
├── build/ # Build and deployment files
│ ├── BPM_Assistant_v1.4.5.spec # PyInstaller specification
│ ├── make_single_file_noConsole.bat # Build automation
│ ├── bpm.ico # Application icon
│ └── splashsc.png # Splash screen
├── samples/ # Sample data files
│ └── __Sample_BPM_request_DO_NOT_DELETE.xlsx
└── docs/ # Technical documentation
├── API_DOCUMENTATION.md
├── INSTALLATION_GUIDE.md
└── TECHNICAL_SPECS.md
Python 3.7+
PyQt5
pandas
openpyxl
fuzzywuzzy
requests# Clone private repository (access required)
git clone https://github.com/YOUR-USERNAME/BPM-Assistant-Source.git
# Install dependencies
pip install -r requirements.txt
# Run application
python BPM_Assistant_v1.4.5.py- Technical Interviews - Code architecture and implementation reviews
- Skills Assessment - Demonstration of Python, GUI, and API integration skills
- Partnership Discussions - Collaboration on similar enterprise tools
- Knowledge Sharing - Best practices in desktop application development
- Lead Developer: @ASH-KAR - Architecture and core implementation
- Co-Developer: @KARTIKEY-MALKANI - Feature development and portfolio management
- Efficiency Gain: 70% reduction in manual verification time
- Accuracy Improvement: 95%+ data validation accuracy
- Process Automation: End-to-end workflow digitization
- Scalability: Handles enterprise-level data volumes
- Clean Architecture: Modular, maintainable codebase
- User Experience: Intuitive GUI with professional design
- Error Resilience: Comprehensive exception handling
- Performance: Optimized for large dataset processing
- Enterprise Deployment: Successfully implemented in business environment
- Performance Proven: Handles 10,000+ records efficiently
- User Adoption: Positive feedback from business stakeholders
- Technical Soundness: Robust architecture with comprehensive testing
Ready to explore the technical implementation?
Professional verification required - access typically granted within 2-3 business days
This project demonstrates advanced Python development, GUI design, API integration, and enterprise application architecture. The complete source code is available to verified professionals and potential collaborators upon request.