Name: Darryl Connelly II
Type: User
Bio: Data analyst with a background in the sales, service and hospitality industries. Motivated in shaping interesting reports that drive business-critical decisions
Location: Suwanee, Georgia
Blog: linkedin.com/in/darrylconnellyii
Darryl Connelly II's Projects
In this project, we created an interactive dashboard to help inform the end user about the 2020 Tokyo Olympic competition including gender participation and medal information for each discipline and event. This would be useful to sports analysts, Olympic historians, hobbyists and even athlete's by having a place to check Olympic related information.
In this project, we utilized four sources of data to analyze information about characteristics of automobiles and the car buying process. This database could be useful in the car buying and selling process for both dealerships and private consumers.
In this project, we wanted to determine how college football has changed over time and focus on if the value of defense is diminishing in games. If so, what factors are possibly making this happen and what can we see happening for the future.
Utilizing Excel formulas to use conditional formatting and pivot charts for Kickstarter campaign analysis.
Utilizing Pandas data frames to analyze in-game purchasing data for Heroes of Pymoli video game.
In this project, we used Heroku to create a dynamic website to predict housing prices from a scraped dataset. This type of website could be used to help a future homeowner decide what price a house may be in a certain area depending on the house details.
In this project, I was interested in analyzing the usage of Bay Wheels prior to the outbreak of the pandemic. Although the program has undergone changes, this analysis can offer insights that could assist city officials in enhancing the efficiency and visibility of the program.
Utilizing Matplotlib to analyze the effects of cancer treatments on mouse tumors.
Utilizing Python to analyze the Profit/Loss of a company's financial records and election results.
Utilizing VBA scripting to analyze stock market data.