Role
Design and build a robust backend system for an interactive data visualization and application tracking system (ATS), focusing on efficient data management and seamless application processing.
Tech Stack
Node.js, Express, MongoDB, React, Redux, React Query
Tools
Figma, Github, Postman, Aws
Duration
07 Months
Year
2022
Intro
Youth Ministry ATS stands as an innovative data visualization and application tracking system, crafted with precision using Figma, and driven by the latest tech stack that comprises Node.js, Express, and MongoDB for the backend. This formidable technological combination forms the backbone of a high-performing and user-centric solution.
Data Management
In designing and implementing the data management system, I've focused on efficiency and accuracy. MongoDB serves as the primary database, with Mongoose as the ODM (Object Data Modeling) library, enabling schema-based solutions and data validation. This setup ensures that all user data is stored securely and can be accessed and manipulated efficiently.
User Acquisition
In implementing the registration process for user acquisition, I've taken several steps to ensure secure and efficient data handling. The backend uses middleware for input validation and error handling, providing clear feedback to the frontend. The data is organized and stored in MongoDB, with Mongoose managing schema definitions and ensuring data integrity.
Applicants Profile Review
In the ATS, I've implemented a highly efficient multilevel approval system. The backend processes and stores detailed applicant data, organizing it into multiple structured steps. A custom-built stepper interface guides application reviewers through these steps, with backend logic ensuring data integrity and seamless progression through the review stages.
Application Approval
After evaluation, the reviewer can see the evaluation score and the reviewer can either accept the applicant, allowing them to proceed to the next level of the evaluation process, or reject the applicant if they don't meet the specified criteria.
It's All About Data
Visualizing a multitude of applications was paramount for gaining a holistic perspective on the system's performance. To achieve this, I leveraged the powerful Nivio Charts library for creating interactive, data-driven statistics and visualizations. By employing various chart types such as bar charts, pie charts, and tables, I aimed to furnish the management team with comprehensive data-driven insights. These visualizations not only offered a clear overview of the system but also facilitated data distribution, equipping the decision-makers with the tools they needed to make informed and strategic business decisions.
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