This Portfolio is a compilation of Data Analytic projects that I have completed during my academic studies as well as projects I have completed for hobby.
- LinkedIn: linkedin.com/natalie-eversole
National Transportation Safety Board Accident Analysis
This project uses NTSB aircraft accident dataset to identify factors that contribute to airplane accidents, identify hotspots where accidents occur, and calculate a severity index rating for each U.S. airport. The findings are displayed in a webapp.
This project uses Amazon product metadata to produce a graphical user interface that generates book recommendations for a user. The focus of this project is to use co-purchasing history to map the relationship between books and evaluate the connections to make accurate product recommendations.
This project uses Yelp business and review metadata to produce a graphical user interface search engine. The user interface enables users to view details about Yelp business after selecting a business category or a state, city, and/or zip code.
This project uses a New York City flight dataset to implement a quadratic discriminant analysis machine learning model. The model predicts if a flight observation belongs to one of three different commercial airlines.
This project implements a random forest machine learning model to predict the quality of red wines based on 11 different factors. An analysis was also performed to determine the factors that effect the quality of wine.