Executive Summary of Animal Shelter Analytics Dashboard

This portfolio piece showcases a comprehensive data analytics dashboard for the Sonoma County Animal Shelter, developed using Apache Superset. The project effectively transforms raw operational data into a suite of powerful, visual insights that help monitor and optimize shelter performance. By providing a clear view of key metrics such as average days in the shelter, intake/outtake trends, and population breakdowns, this dashboard empowers shelter staff and management to make data-driven decisions that improve animal welfare and operational efficiency. The project stands as a strong example of my ability to apply data analysis skills to a real-world, non-profit context.

Key Standout Features

• Diverse Data Visualization: The dashboard features a wide array of visualizations, including time-series graphs, geographical maps, and network diagrams, to present a holistic view of shelter operations. This demonstrates versatility in choosing the most effective chart type for a given dataset and analytical purpose.

• Focus on Key Metrics: It prominently displays critical KPIs such as "Average Days in Shelter" for all animals, dogs, and cats. This shows an understanding of the key indicators that are most valuable to the organization's mission and daily operations.

• Comprehensive Analytical Capabilities: The dashboard goes beyond simple counts to provide multi-faceted analysis, including temporal trends over a 24-hour cycle, geographical distribution of animals, and breakdowns by species and status.

• Real-World Application: This project is a fully realized solution for a specific, real-world need, proving the ability to apply data analytics skills to a non-profit organization to drive tangible social and operational value.

• Open-Source Tool Proficiency: The use of Apache Superset highlights proficiency with an open-source, enterprise-grade business intelligence tool2.

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