Research Aide in Array of Things, @Chicago in the United States
Highlights: Data Science / Time Series Clustering / Regression Analysis
Array of Things (AoT) is an urban sensor network (more than 300 nodes have been deployed) in Chicago city, measuring environmental factors that impact livability in cities such as climate, air quality, pedestrian, floodwater, and noise (AoT Blog).
Developed ML approaches to calibrate temperature sensor data with the ambient light level.
Applied pattern identification to improve the performance of calibration model by 25%.
Connected data API and transferred data to different sensor network platforms.