Publications by Eirlys Vo

2024_BANA4080_Group 4 - Final Project

06.12.2024

Group 4 - Final Project Introduction As Regork enters the telecommunications market, understanding customer behavior is essential for long-term success. In this analysis, we focus on customer retention, using data from the customer_retention.csv file to build a predictive model. The goal is to accurately forecast whether a customer will leave in t...

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BANA 4080 - Final Report

22.11.2024

Group 4 - Final Project Introduction Packages Required setwd("/Users/ezishr/Documents/CINCY/Fall 2024/BANA 4080/Final Project") # Local working directory library(tidyverse) # Data manipulation, visualization, reading data files library(tidymodels) # Models and recipes use purpose library(rpart) # Tree-based ...

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Midterm Project

13.10.2024

Report Introduction Packages Required library(tidyverse) library(here) library(lubridate) library(ggplot2) library(readr) library(completejourney) library(readr) Data Preparation Setup c(promotions, transactions) %<-% get_data(which = 'both', verbose = FALSE) # setwd('/Users/ezishr/Documents/CINCY/Fall 2024/BANA 4080/BANA4080_midterm_pro...

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Time Series Forecasting - Titanic Ticket Sales Research

08.09.2024

Overview This is the final project of class BANA 4080 - Forecasting and Risk Analysis at the University of Cincinnati. The focus is utilizing knowledge of time series data and libraries forecast, tseries. This project was completed as part of the BANA 4080 - Forecasting and Risk Analysis at the University of Cincinnati. It aims to model and predict...

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Biography

05.09.2024

Introduction to Me! Welcome to my page! I’m Eirlys Vo (you can find the pronunciation using Google Translate!) and I’m from Vietnam. My passion lies in Data Science—uncovering insights through data, using a variety of tools, and telling compelling stories through visualizations. If you share similar interests or want to collaborate on a proj...

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Coursera Data Analysis

29.08.2024

Objective The goal of this project is to perform a comprehensive analysis of a dataset related to Coursera courses. I explored the dataset to understand the data structure and performed necessary data cleansing. Then, I created visualizations to see insights for online studying trends and user engagement. Data Collection The data is provided on Ka...

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