Data science | Positive social impact
Statistical Data Analyst
MSc Analytics, University of Chicago
LinkedIn Profile
Online Shopping purchasing behaviour was collected from a website over one year.
A predictive model was built using the given information to determine if the visit will end with an item being purchased.
Twitter profiles related to multiple universities were analysed and compared to understand the factors that drive a more prolific social media presence, thereby improving outreach to prospective students and researchers.
The datasets from AirBnb and Zillow of New York City were analysed to identify Zipcodes where, if property were to be purchased and rented out short term, the time taken to generate profits through rental fees was identified.
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