Show (Kate) Wang's Projects
Analyzes book review data from Amazon and the Amazon-Vine program utilizing PySpark and Amazon Web Service's Relational Database Service (AWS RDS)
Visualize Citi Bike usage based on user type, gender, start and stop locations, time of day, and day of the week
Predicts credit risk of individuals based on information within their application utilizing supervised machine learning models
Utilize machine learning to predict when their current employees will leave and their reason for leaving.
Perform analysis on Kickstarter data to uncover trends
Creates an ETL pipeline to organize movie data for analysis
Creates and optimizes a neural network model to determine non-profit organizations that will make appropriate usage of monetary donations
Elucidate the amount and positions of employees reaching retirement age where they qualify for the mentorship program to train new hires
Creates a local dynamic webpage including a search of UFO sightings by five categories