Eri Saikawa Lab, Emory University

• Led a 1-year project and paper in submission to calibrate 10+ low-cost air sensors while maintaining high accuracy for schools and households to get accurate pollution data using regression models on 10000+ rows of data

• Achieved an R2 of 96% for PM2.5 and improved the average R2 from 68% to 73% by including meteorological factors like relative humidity and temperature with accuracy evaluation using CV, NRMSE etc. as metrics

• Wrote comprehensive GitHub documentation on usage of the calibration models to guide 30+ lab members

• Extracted and calculated daily average PM2.5 and O3 data over 10 years and interpolated missing data using R; co-authored a peer-reviewed paper that studies the effects of air pollution on respiratory morbidity