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2020-msds691-example

Relational Databases Class Example Repo

airbnb-listing-price-in-newyork

business-analytics-toolbox

Course material for Business Analytics Toolbox - BA775

capstone-limited

This is a limited show of the capstone project

computation_course

USF MSDS 501 Computation for Analytics Course

customer-clustering-and-churning-prediciton

Through this project, we hope to help the business manager understand their customer stratifications and update their product features. Furthermore, we want to use the information we have to identify the characteristics of attrited customers so that the company may come up with marketing strategies to maintain those customers who may end the business relationship with them.

deep-learning-business-status-prediction

Problem: Can we use prior year financial information from non-profit tax return filings to predict whether an organization will terminate/liquidate all or part of its operations? Definition of termination and partial liquidation per IRS instructions. ● Termination - “Liquidation, Termination, or Dissolution” ● Partial Liquidation - “Sale, Exchange, Disposition, or Other Transfer of More Than 25% of the Organization’s Assets” Our analysis could help organizations determine the risk that a nonprofit stakeholder would cease to exist or substantially change it’s structure in the near future.

delivery-time-estimate

The COVID-19 pandemic challenged our life in many aspects,but some industries grew quickly during this period, such as fresh delivery services. As many pieces of research have shown, in this fast-paced society, people value the speed of delivery service. According to Resendes (2020), 31% of customers use delivery service at least twice a week. 33% of customers are willing to pay money in exchange for fast delivery. For this project, we would like to dive into the food delivery service industry. We’d like to take the standpoint of the third-party food delivery service platforms, such as Uber Eats, Chowbus, DoorDash, etc., which connect the restaurants and consumers. We want to analyze when everything holds constant, how the food delivery time interval will affect consumer’s willingness to place an order. We wish our results could help us have a better understanding of the influence of wait time on whether a consumer would choose a service or not, which could be helpful in our career. Also, we wish our result to develop a win-win relationship between consumers and service platforms by helping platforms gain more profits and consumers have better user experience.

gender-equality-worldwide

This is a team project we need in colab with the visualization in tableau to analyze the change of gender equality worldwide.

intro-to-data-analytics

Course repository for BA780 offered in the MS in Business Analytics program.

mobie-phone-price-classification

msds593

MSDS593 -- Exploratory data analysis (EDA) at the University of San Francisco

msds621

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

msds692

MSAN692 Data Acquisition

product-design-and-marketing-strategies-evaluation

Nowadays, almost every company will have some data related positions. Big data is the theme of this era and more and more managers realize the power of data, especially those from their own business. Not only data can help them keep track of their business performance, but also it can help them evaluate their marketing strategies, especially product design and customer clustering. For this project, I choose a Kaggle dataset of an automobile company who wants to enter a new market.