Welcome to the Synthetic Data Generator for BFSI-CRM! This project allows you to generate synthetic customer data for the Banking, Financial Services, and Insurance (BFSI) Customer Relationship Management (CRM) domain.
The BFSI-CRM Synthetic Data Generator creates realistic and diverse datasets that mimic customer interactions within the BFSI sector. It's a powerful tool for testing and development, providing a privacy-conscious and customizable solution for generating large volumes of synthetic data.
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Versatile Data Generation: Generate a wide range of customer data, including personal information, transactional data, financial details, and interaction history.
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Realistic Customer Profiles: Mimic real-world scenarios by creating customer profiles with authentic names, addresses, contact details, and more.
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Customizable Parameters: Tailor the data generation process with customizable parameters such as transaction types, product offerings, and communication channels.
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Privacy-Focused: Generate synthetic data that adheres to privacy regulations, ensuring confidentiality while maintaining the realism of the dataset.
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Install the required dependencies:
pip install -r requirements.txt
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Run the data generation script:
python Generate_data.py
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Find your synthetic customer data in
data/customer_data.csv.
Generate_data.py: Main script for synthetic data generation.- Output CSV file containing synthetic customer data:
https://github.com/vishakhac24/Dataset-For-BFSI-Projects.git
Contributions are welcome! Feel free to open issues or submit pull requests.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent