Create dataset out of raw data for data model

Cleaning of dataset including the outlier

Used oversampling technique to balance the dataset

Setup multiple level classification prediction model

Used different technique to arrive at the best fit model on basis of confusion matrix

Requirement gathering and product gap analysis

Project plan for delivery and budget

Used Kanban to manage delivery activities

Communication betweenstackholdersand engineering team

Conduct status meetings

Followup on delivery

• Tested complex NPA and writen offmodule for implementation.
• Automated regression suite for complex web and API module.
• Hands on experience on product gap analysis and requirements gathering.
• Client engagement for product solution clarification and implementation
• Handled UAT support for solution and incremental feature additions

• Implemented NBFC Agri loan originating system with complex auto approval setup

• Tested Loan origination and servicing loan account.

• Handled multiple reconciliation issues

• Tested complex NPA module for multiple implementation.

• Automated regression suite for complex web and API module.

• Hands on experience on product gap analysis and requirements gathering.

• Client engagement for product solution clarification and implementation

• Handled UAT support for solution and incremental feature additions

• Independently handled Testing for Payment Module for PSU bank.
• Tested Chip card based transactions and Micro ATM for PSU bank
• Tested Loan origination and servicing loan account.
• Automated regression suite for payment module.
• Product Testing– Saving Module
• Approval workflow testing
• Release Management
• Tested GL ledgers and Loans repayments schedule generation
• Tested Interest Accrual for saving accounts