Supplier Relationship Management Application for Moody's Analytics

I contributed to the development of a Supplier Relationship Management (SRM) application for Moody's Analytics. This application was designed to provide Moody’s with valuable insights into their supplier relationships, enhancing their ability to manage and optimize these relationships effectively.

- Gain Insights: Provide Moody’s with detailed insights into their supplier relationships.

- Enhance Management: Improve the efficiency and effectiveness of supplier relationship management.

- Leverage Technology: Utilize modern technologies to ensure a robust and scalable application.

- Typescript: For building robust and maintainable frontend and backend components.

- Python: For backend processing and data analysis.

- PostgreSQL: As the relational database for managing supplier data.

- AWS (APIG/Cognito/Lambda): For secure, scalable, and serverless application deployment.

- Collaborated with stakeholders to understand the specific needs and requirements.

- Defined key features and functionalities to be included in the application.

- Designed the system architecture to ensure scalability and performance.

- Created data models and database schemas in PostgreSQL.

- Implemented frontend and backend components using Typescript.

- Developed backend services and data processing logic in Python.

- Utilized AWS services (API Gateway, Cognito, Lambda) for secure and serverless application deployment.

- Conducted thorough testing to ensure functionality, security, and performance.

- Optimized the application for efficient data retrieval and processing.

- Insightful Data: Provided Moody’s with comprehensive insights into supplier relationships, aiding better decision-making.

- Efficient Management: Streamlined the process of managing supplier relationships, improving overall efficiency.

- Scalable Solution: Delivered a robust and scalable application leveraging modern technologies and AWS services.

The Supplier Relationship Management application developed for Moody's Analytics successfully met the objectives of providing valuable insights and enhancing the management of supplier relationships. The use of Typescript, Python, PostgreSQL, and AWS services ensured the application was both powerful and scalable.