March 7, 2024, 6:33 p.m. | Kaggle

Kaggle www.youtube.com

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 …

air pollution air quality analysis data global highlighting kaggle outliers pollution presentation project quality trends usa

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Research Scientist, Demography and Survey Science, University Grad

@ Meta | Menlo Park, CA | New York City

Computer Vision Engineer, XR

@ Meta | Burlingame, CA