Background

Tammy Hartline

Technical Project Samples

Global Workforce Availability Application

Developed a comprehensive web application to solve communication challenges in global remote workforce management. The application allows employees to set and update their weekly availability, providing real-time insights for team coordination and reducing communication friction across different time zones.

Key Features:

  • User-friendly availability scheduling interface
  • Real-time availability tracking
  • Automated weekly reporting system
  • Secure authentication with Google Cloud
  • Data persistence with Firebase and BigQuery

Problem Statement:

Large remote and on-site global workforces face communication challenges due to:

  • Varying time zones and work schedules
  • Lack of visibility into team member availability
  • Inefficient coordination for meetings and collaborative work

Solution:

Created a centralized platform that:

  • Provides real-time visibility of team availability
  • Simplifies scheduling across time zones
  • Reduces communication overhead and improves team coordination
  • Integrates with existing calendar systems

Live Demo

Live Application Preview

Sustainability Data Visualization System

Designed and implemented a comprehensive data visualization system for Southern New Hampshire University's sustainability initiatives. The system transformed raw environmental data into actionable insights, contributing to the university achieving Silver status in sustainability rankings.

Key Features:

  • Interactive dashboards for energy consumption, waste management, and carbon footprint
  • Automated data collection and processing pipeline
  • Trend analysis and forecasting capabilities
  • Customizable reporting for different stakeholders
  • Integration with existing university systems

Technical Implementation:

Utilized Python, SQL, and Power BI to create a robust data pipeline and visualization system that:

  • Consolidated data from multiple sources into a unified database
  • Implemented data cleaning and transformation processes
  • Created intuitive visualizations for technical and non-technical users
  • Enabled data-driven decision making for sustainability initiatives