I am an early career data analyst and public health researcher with a strong technical background in mathematics, physics, and data science. I am passionate about utilizing statistical analysis, machine learning, and artificial intelligence techniques to uncover insights and drive decision-making for complex problems in air quality and public health.I have worked, lived, and traveled in over 20 countries, through which I have developed an understanding of issues in international development. At the Mongolian National University of Medical Sciences, I spearheaded data management efforts for a report to the WHO on COVID-19 impacts to treatment of 200+ diseases, utilizing 2 years of hospitalization data with over half a million records. More recently in my consulting work for AethLabs, I implemented 10+ statistical analyses on environmental correction algorithms for black carbon air quality sensors; AethLabs integrated algorithms into devices with 50% improvements to data accuracy and potential to impact 1000+ sensors.Outside of work I love to swing dance and also run a side hustle of tutoring college students in probability and statistics.I am excited about job opportunities in data analysis, air quality and public health, where I can leverage my skills to make a positive impact. Please feel free to contact me at gpgreif2@gmail.com to discuss potential collaborations.Skills:- Python- Machine Learning- Statistical Analysis- Web-scraping- Data Visualization- SQL- Power BI- Git- Javascript- Air Quality