Selected Works
- Book Buying Patterns
- Facebook: Beauty or the Beast?
- Multivariate Analysis Project: Glass Identification - Criminology
- Industry Analysis and Marketing Strategy for a possible application of RFID on firearms
- Statistical Analysis Assignment (using phstat)
- Marketing Plan for Supersonic Jet
- Marketing Plan for Salesforce.com
- Marketing Analysis for Windows Live
- Case Study on Land Rover
- Case Study on ODI Lens, Inc.
- Case Study on Staples
- Case Study on Apple
- Case Study on 3M
- Case Study on Canon
- Case Study on Chase
- Case Study on Pepsi
- Case Study on US Domestic Airlines Industry
- Case Study on Exide
A study to analyze book buying patterns of residents in NY, PA and OH by using the database of Bookbinders Club and to derive a predictive model for buying books by using influential predictors such as purchase period, number of books purchased, and number of child books purchased, and etc. Topics include: Descriptive Statistics, Univariate Analysis, Two-Sample Test, Regression Analysis, Dangers of Random Walks, Logistic Regression Analysis Multiple Regression and Diagnostics
A large scale survey proposal in order to estimate the proportion of Americans who provide key personal information on Facebook. Sampling techniques include: Simple Random Sampling of Facebook Accounts, Stratified Random Sampling of Facebook Accounts and Cluster Sampling of Facebook Accounts
A multivariate analysis for classification of types of glass left at the scene of a crime. Analysis techniques include: Significance test for each given attributes for different glass types by using MANOVA, discriminant function analysis, classification analysis, principal component analysis and factor analysis to the same dataset.
This was a group project for B2B Marketing Strategies class. We were assigned to make industry analysis and create a marketing strategy for a new application of an existing product. In this project, I mostly focused on the price determination, financial analysis and forecasting parts, where I used simple linear regression.
In this project, I was assigned to compare 3 companies based on their opening and closing trade values over 5-year period. I used PHStat for statistical calculations such as sample mean and standard deviation, dot scale diagram analysis, F-test statistics, t-test statistics and etc.