HR Analytics Dashboard & Data Pipeline

A professional-grade "People Analytics" and employee management system. This project demonstrates foundational data science programming by implementing a fully decoupled architecture for data storage, mathematical aggregation, and user interfaces.

🏗️ Architecture

The system replaces a monolithic script with a modular pipeline:

• data_handler.py: Manages persistent file I/O operations with CSV formatting.
• analytics.py: The mathematical engine handling Pandas-style grouping, filtering, and predictive budget simulations.
• gui.py: A modern desktop dashboard built with CustomTkinter for real-time statistical tracking.
• main.py: A robust command-line interface utilizing tabulate for structured data visualization.

🛠️ Features

• Complete CRUD Operations: Create, read, update, and delete employee records with strict data validation.
• Statistical Aggregation: Automatically calculates global and department-specific statistics, including Minimum, Maximum, Average, and Median salaries.
• Predictive Modeling: Simulates company-wide percentage raises to project total budget impacts.
• Automated Reporting: Exports actionable text-based HR summaries.
• Dual Interfaces: Operate the pipeline through a lightweight terminal CLI or a dark-mode graphical desktop application.