Christopher is a passionate analyst with a certification as a Data Scientist and extensive background in mathematics. He has years of experience in research, analytics, and modeling. He leveraged his experience at NYC Data Science Academy to enrich his understanding and application of machine learning and data visualization techniques across 4 major projects including forecasting number of Instagram likes and determining fighter skill in the UFC.
Instagram “likes” Impose a Problem. An internal Instagram study showed that teens delete up to half of all their Instagram posts due them not receiving enough […]
Introduction: Machine-Learning Predictions for Apartment Listings For this project, we took on the Two Sigma Connect: Rental Listing Inquiries Challenge on Kaggle. The rental website Renthop provided us with […]
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