Developed and delivered a User Activity Scoring System for the asuc-octo/berkeleytime repository, introducing an activityScore field and a background update job to automate user engagement tracking. Leveraged Node.js and React in a full stack environment, implementing analytics by data granularity and a staff dashboard card for real-time visualization of activity scores across multiple formulas. Ensured data integrity and performance under load through concurrency protections and optimized database operations. Established a framework for testing and comparing scoring formulas, reducing manual verification and accelerating decision-making. Improved code maintainability by addressing lint issues, refining type definitions, and simplifying scoring formula activation.