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Process and visualize call center employees longitudinal data
IAP and Spring
MAS: Media Arts and Sciences
The Affective Computing group, Media Lab is looking for UROP students who join us to develop tools to organize, analyze and visualize data from a study of employees’ wellbeing. The longitudinal measurements will be collected using mobile phones and wearable sensors. We will conduct long-term ambulatory study of call center workers with the goal of finding behavioral, physiological and social correlates of their performance and wellness. You will help us to analyze the collected data and to visualize the results.
The student must have interests and experience in data analysis and visualization. Expertise in Python, Anaconda and longitudinal data processing is a plus.