Sanjaya J Shetty

Developed and implemented interactive R Shiny credit risk models, significantly enhancing risk assessment efficiency and accuracy.

Optimized automated R scripts to improve performance and maintainability, streamlining data processing workflows.

Containerized R Shiny applications using Docker, establishing a consistent and scalable deployment process.

Integrated React with backend services to build robust R Shiny applications, enhancing user experience and functionality.

Optimized R Shiny application backend, reducing processing time by 80% and memory usage by 40% for enhanced performance and resource efficiency.

Engineered and deployed R Plumber APIs, facilitating seamless integration and shared service utilization across diverse Shiny applications.

Championed Git/GitHub adoption, transitioning the team from inefficient zip file workflows to a streamlined version control system.

Spearheaded the integration of AWS with React, Flask, and Shiny applications, establishing a more efficient and scalable development environment.

Configured and deployed business logic for automated reconciliation systems using proprietary software, streamlining financial data processes.

Developed and maintained custom logic to meet evolving client requirements, enhancing system adaptability and accuracy.

Communicated complex system setups and analytical findings to clients, ensuring clear understanding and stakeholder alignment.

Authored comprehensive economic reports on critical issues such as APMC reforms, COVID-19's socioeconomic impact, and state budget analysis, informing policy discussions.