Riley Corpac's Projects
Performing extract, transform, and load on Amazon Vine program members for specific product reviews then compare and calculate table results to settle if there is any bias towards favorable reviews compared to non-Vine program members product reviews.
Visualizations that were transformed on Tableau from sourced data that reveals the positive features of the Citi Bike program.
Creating a supervised machine learning model that could accurately predict credit risk using 6 different methods,
An unsupervised learning approach to analyze data on cryptocurrencies traded on the market.
Using Python and provided data from an election commission board to evaluate an audit and all its results
Performing analysis on a Kickstarter fundraiser for a play called Fever to uncover trends and differences from other campaigns using Mircosoft Excel
Plotting Earthquake data and Tectonic Plates using Leaflet, GeoJSON, HTML, and Javascript based on longitude and latitude coordinates.
Election Finance analysis on the previous five New York City Mayor Election campaigns to determine if there are any relationship between variables from fundraising donations that relate to a strong campaign election result.
Statistics and R to boost prototype car performance
Exploratory Data Analysis to determine a correlation between Players Positions, Draft Results, Years of Success
An analysis that will provide a list of current employees who are eligible to be enlisted within a mentorship program of a company.
Summary of Pyber showing how each city setting fare against each other when measured by total weekly fares.
Transformation of a school district's grades, and budgets to evaluate the status of each school's student final scores per subject using Pandas via Jupyter-Notebook
Performance for a stock analysis after original script versus a refactored code and execution.
Expose trends within weather data on the island of Oahu to find successful relationships prior to opening a new business.
Webpage and dynamic table provided for a more in-depth analysis of UFO sightings by allowing users to filter for multiple criteria at the same time.
Weather preference data that is user friendly to potentially identify travel destinations