Matching Items (8)
Description
Developed a business product with a team of CS Students
ContributorsHernandez, Maximilliano (Co-author) / Schneider, Kaitlin (Co-author) / Perri, Cole (Co-author) / Call, Andy (Thesis director) / Hunt, Neil (Committee member) / School of Accountancy (Contributor) / School of Sustainability (Contributor) / Department of Information Systems (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
I conducted market research for a potential boutique startup in Bermuda. In order to complete this I conducted interviews and surveys from my target market, as well as interviews with my competitors. I then presented a summary of how Coconut Lair Boutique could add value for its consumers and differentiate themselves from their competitors.
ContributorsHassell, Mckenzie (Author) / Trujillo, Rhett (Thesis director) / Drummond Alvarenga de Neto, Rivadavia (Committee member) / Barrett, The Honors College (Contributor) / The Design School (Contributor) / School of Music, Dance and Theatre (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Management and Entrepreneurship (Contributor)
Created2023-05
DescriptionBusiness Plan and Purchase Agreement for a private swim lesson business, FH Kids Academy.
ContributorsMeyers, Deven (Author) / Byrne, Jared (Thesis director) / Eaton, John (Committee member) / Barrett, The Honors College (Contributor) / College of Health Solutions (Contributor) / Department of Management and Entrepreneurship (Contributor) / Dean, W.P. Carey School of Business (Contributor) / School of International Letters and Cultures (Contributor) / Department of Military Science (Contributor) / Department of Information Systems (Contributor)
Created2023-12
Description
Motion: Performing Arts and Creative Training, also known as MPACT, will provide dance training to all levels and ages in the St. Louis, Missouri area. Our highly trained and knowledgeable dance educators will provide instruction that will inspire and foster creativity in a highly educational class setting that will prepare each student for a lifelong love for dance. Students will have the opportunity to perform in multiple settings and engage in class instruction from guest artists as well as MPACT’s educators.
ContributorsHills, Mira Marie (Co-author) / Hills, Mira (Co-author) / Schupp, Karen (Thesis director) / Roses-Thema, Cynthia (Committee member) / Department of Management and Entrepreneurship (Contributor) / School of Film, Dance and Theatre (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Cohab is an online platform (App, social media, and website) with a mission to make the search for student housing simple and convenient by using predictive analytics on a client-feedback database to match students to off-campus housing options that fit their wants and needs. Cohab seeks to launch by testing the market of how ASU students looking for off-campus housing would enjoy a speed-matching service to ease them through the housing and housemate search process.
ContributorsSo, Chun Wai Stephen (Author) / Koretz, Lora (Thesis director) / Tracy, Lea (Committee member) / Dean, W.P. Carey School of Business (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Machine learning is one of the fastest growing fields and it has applications in almost any industry. Predicting sports games is an obvious use case for machine learning, data is relatively easy to collect, generally complete data is available, and outcomes are easily measurable. Predicting the outcomes of sports events may also be easily profitable, predictions can be taken to a sportsbook and wagered on. A successful prediction model could easily turn a profit. The goal of this project was to build a model using machine learning to predict the outcomes of NBA games.
In order to train the model, data was collected from the NBA statistics website. The model was trained on games dating from the 2010 NBA season through the 2017 NBA season. Three separate models were built, predicting the winner, predicting the total points, and finally predicting the margin of victory for a team. These models learned on 80 percent of the data and validated on the other 20 percent. These models were trained for 40 epochs with a batch size of 15.
The model for predicting the winner achieved an accuracy of 65.61 percent, just slightly below the accuracy of other experts in the field of predicting the NBA. The model for predicting total points performed decently as well, it could beat Las Vegas’ prediction 50.04 percent of the time. The model for predicting margin of victory also did well, it beat Las Vegas 50.58 percent of the time.
In order to train the model, data was collected from the NBA statistics website. The model was trained on games dating from the 2010 NBA season through the 2017 NBA season. Three separate models were built, predicting the winner, predicting the total points, and finally predicting the margin of victory for a team. These models learned on 80 percent of the data and validated on the other 20 percent. These models were trained for 40 epochs with a batch size of 15.
The model for predicting the winner achieved an accuracy of 65.61 percent, just slightly below the accuracy of other experts in the field of predicting the NBA. The model for predicting total points performed decently as well, it could beat Las Vegas’ prediction 50.04 percent of the time. The model for predicting margin of victory also did well, it beat Las Vegas 50.58 percent of the time.
ContributorsGarretson, Samuel Burkett (Author) / Meuth, Ryan (Thesis director) / Nakamura, Mutsumi (Committee member) / Computer Science and Engineering Program (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Department of Management and Entrepreneurship (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
The On Par Golf team loves and respects the fulfilling game of golf and understands the positive impact it can make in the lives of others. With this in mind, On Par Golf strives to ensure golf ball equipment cost is not a deterrent of play and the game is accessible to all who wish to enjoy it. To better meet this objective, On Par Golf’s competitive differentiation strategy plan serves as a short-term strategic operational plan to determine business best practices and future courses of action. This plan is designed to be quantifiable and versatile to the changing business environment. Over the next three to five years, On Par Golf will be continuing in its growth stage in the business lifecycle, rapidly expanding to support annual volumes by 2022. This document focuses on two major business functions: Supply Chain and Marketing. Each initiative is designed to address specific challenges and create opportunities for improvement in their respective categories to better position On Par Golf for future competitive success. After a variety of internal and external analyses as well as competitive benchmarking, unique approaches were developed for On Par Golf to use to grow its market share and presence. As a result, this strategy determined new methods of demand creation for competitive differentiation and refines the demand fulfillment process for On Par Golf to better serve emerging customer needs.
ContributorsEngland, Kyle Kasem (Co-author) / Faulkner, Darian (Co-author) / Denning, Michael (Thesis director) / Wiedmer, Robert (Committee member) / Department of Management and Entrepreneurship (Contributor) / Department of Supply Chain Management (Contributor) / Department of Marketing (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
DescriptionI have developed an in-depth business plan for Managing, Financing, and Hosting a youth Wrestling Tournament. I intend to use this business plan as a road map for my company Beat the Elite, where I will host tournaments across the Midwest.
ContributorsKane, Patrick (Author) / Koretz, Lora (Thesis director) / Moore, James (Committee member) / Barrett, The Honors College (Contributor) / Department of Management and Entrepreneurship (Contributor)
Created2023-12