Data Science for Climate Change

This case study from Omdena details a project focused on using data science to mitigate greenhouse gas emissions by reducing the energy consumption of buildings. It outlines the methodology, challenges, and outcomes of applying data-driven approaches to analyze building energy usage patterns. The project aims to identify inefficiencies and propose solutions that contribute to climate change mitigation efforts. It exemplifies how collaborative data science initiatives can lead to practical, impactful solutions for environmental sustainability, demonstrating the potential for data analytics to drive significant reductions in carbon footprint.