Shoe Rebranding

Far far away, behind the word mountains, far from the countries.

Scroll

Employee Performance Appraisal System

Image
Project Date Jan, 2025
Role Identity, Web Design, Full Stack Development
Visit CLICK HERE

Designed and implemented a bell curve-based performance appraisal module that calculates actual vs. standard rating distribution, identifies deviations, and suggests rating revisions for employees using Java and Spring Boot, ensuring robust and extensible architecture with unit test coverage.

Technologies Used:

  • Backend: Java, Spring Framework, SpringBoot
  • Frontend: JavaScript,React.js
  • Database: PostgreSQL

Key Features:

  • Implemented bell curve methodology to classify employee performance into standard rating categories.
  • Calculated actual rating distribution and compared it against predefined standard percentages.
  • Detected deviations between actual and standard rating distributions.
  • Provided suggestions for rating revisions to align with the ideal bell curve.
  • Designed an extensible architecture to support future enhancements.
  • Developed robust backend logic using Java and Spring Boot for maintainability.
  • Utilized employee, rating, and appraisal data for dynamic performance analysis.
  • Ensured code reliability with comprehensive unit testing.

Challenges and Solutions

  • Accurate Rating Calculation: Implemented efficient aggregation logic and validation checks to ensure correct calculation of actual rating distributions.
  • Deviation Handling: Developed an algorithm to detect deviations between actual and standard distributions and suggest fair rating revisions.
  • Extensible Design: Used modular design and abstraction layers to easily accommodate future changes in appraisal criteria or rating categories.
  • System Robustness: Created comprehensive unit tests to ensure reliability and catch issues early across varying data inputs.
  • Data Integration: Structured clean data flows and API interfaces to seamlessly integrate employee details, ratings, and appraisal ranges while maintaining data consistency.