Developed enhancements to the estimation ratio calculation in the ices-tools-dev/RDBEScore repository, focusing on improving accuracy, robustness, and maintainability across hierarchical data levels. Leveraging R programming and statistical modeling, the work introduced weight-based computations, standardized variable naming, and rigorous numeric handling to ensure consistent and reliable results. Data validation for length and weight fields was implemented to reduce edge-case failures and improve downstream data quality. The refactored codebase supports easier future enhancements and audits, directly benefiting reporting and decision-making processes. This feature-driven approach emphasized data analysis best practices and contributed to more reliable statistical estimation workflows in R.