Piyush Pratap Singh

Product Overview:
D&B® Finance Analytics is a global AI-driven platform powered by the Dun & Bradstreet Data Cloud, designed to help finance leaders transform their operations. The platform provides finance teams with intelligent insights, automation, and enhanced customer experiences, allowing them to manage risk, improve business efficiency, and gain valuable business insights.

Key Responsibilities:
Requirements Gathering & End-to-End Development: Acted as a key contributor, collaborating with stakeholders to gather requirements and drive the development of key features from design through to testing and deployment.

GMS System: Led the development of the GMS (Global Monitoring System), responsible for providing real-time alerts based on company changes, ensuring timely action for business-critical decisions.

Localization (I18N): Implemented Internationalization (I18N) and integrated the platform with Crowdin, streamlining localization for global users and ensuring seamless multilingual support.

Process Optimization: Enhanced batch processing tasks, resulting in a significant reduction in backlog and improved operational efficiency for large-scale data processing.

System Integration: Integrated the platform with GainSight, enabling better customer success management and improving insights for account health and engagement.

Impact:
Improved operational efficiency, reducing backlog by 30% and ensuring faster delivery of key data-driven insights.
Enhanced the product's scalability and global reach through I18N integration, making it accessible to a broader user base.
Delivered real-time alerts and improved decision-making, providing finance teams with critical information to manage risk and improve customer relationships.

Application Overview:
CRMU: A CRM platform enabling efficient customer engagement through email templates, customer data management, and streamlined communication.
Retail Application: A high-traffic retail platform that allows users to add items to carts, place orders, and manage transactions seamlessly.

Key Contributions:
Modernized legacy systems by migrating to Spring Boot and React, achieving a 30% performance improvement.
Designed RESTful APIs to improve response time by 20%, enhancing user experience and operational efficiency.
Led a backend team of 4 developers, implementing best practices to achieve a 40% reduction in defects.

Application Overview:
A core banking system used by the Development Bank of Singapore to manage transactions, customer accounts, and regional financial operations.

Key Contributions:
Migrated mainframe systems to Java 8 and Spring Boot, boosting scalability and system reliability.
Expanded banking services to the Singapore region, driving an additional $100M annual revenue.

FedEx Logistics Management System:
Developed RESTful APIs using Java and Spring MVC to integrate various logistics services and streamline shipment tracking and delivery processes.
Created Controller, Helper, Service, and Repository classes, achieving 90% unit test coverage with Mockito, ensuring high code quality and system reliability.

Ericsson Fault Management System:
Involved in manual testing of the Fault Management System, which monitors and resolves telecom network issues, improving system reliability and reducing downtime by 15%.