KaggleX Final Project Presentation with Binita Shrestha | Kaggle
About the project: The project involves a analysis of air pollution data at various geographic levels, including global countries, USA states, and USA counties. It assesses trends and variations in air quality from 2019 to 2022, highlighting regions with the best and worst air quality, outliers, and changes over time. The project utilizes geospatial data analysis techniques, focusing on AQI, CO, O3, NO2, PM2.5, and PM10 metrics, and visualizes the data using choropleth maps. It emphasizes the pressing need for improved air quality, particularly in South Asia and North Africa, while noting that continents like Australia and South America exhibit notably cleaner and healthier air. The findings can inform environmental policies, public health initiatives, and future data integration, real-time monitoring, and predictive modeling efforts to support air quality management.
About Binita Shrestha: I am a Data Science graduate from the University of Greenwich and currently employed in the data and Statistics department at Bank of England. Previously I have worked as a project lead in Women in STEAM organization and freelance couple of data projects including research on status of Microfinance in Nepal.
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About KaggleX: KaggleX BIPOC mentorship program is designed to help increase representation, create career opportunities, and develop individual growth for BIPOC (Black, Indigenous, People of Color) people in the data science industry.
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