Developed a homegrown machine learning based research Framework/Tool for EFT- Switching Processor interface and card authorization using TAL and TACL, achieving 90% automated research analytic validation and  50% testing support for online transaction processing. Key Feature:
• Devised machine learning models for transaction classification using bag of word and SVM classifier attaining .89 recall and .91 precision figures to perform automated analytic based research on new and old transaction .
• 50 % reduction in overall testing effort was achieved using the research Framework.
• Automated validation of request & response messages for Acquirer, Issuer and Switch at IPC(Inter process communication) level.
• Framework also support for different mode of testing Unit, Progression, Regression and online testing with other Network gateway(like Visa MasterCard etc.).
• Inline field checkpoints within IPC message.