Feb 2025 - Apr 2025
Role: Full-Stack Developer
Developed an internal Talent Management dashboard designed to support employee placement decisions based on performance, role progression, and organizational needs. The system provides a centralized view of employee development data and helps streamline decision-making for workforce allocation.
The system improved visibility into employee development and placement readiness, enabling faster and more structured decision-making for talent allocation across branches and operational units.
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Managing employee placement decisions across multiple branches required combining various data points such as performance, role progression, and organizational needs. Without a centralized system, this process was time-consuming and difficult to standardize.
This project introduced a structured dashboard that aggregates relevant employee data and applies mapping logic to generate placement suggestions, making the process more efficient and consistent.
Primary Flow
System aggregates employee and organizational data from multiple internal sources.
Data is processed to identify eligible employees for role progression.
Mapping logic determines potential placement based on availability and predefined rules.
Results are displayed in the dashboard and can be filtered, reviewed, and exported.
The system includes rule-based mapping logic to determine placement recommendations. The logic considers multiple factors such as availability, hierarchy, and data constraints, ensuring that results remain consistent and aligned with operational requirements.
Implementation Flow
Data from several internal HR sources is consolidated first so the mapping service can work from one structured dataset.
Rule-based logic evaluates availability, hierarchy, and operational constraints before generating placement recommendations.
The processed result is shaped into dashboard-ready output with filtering, export, and review support for decision-making.
Implementation Details
Some implementation details have been simplified due to internal system constraints.
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