NEISS Data Exploration and Visualization

Conduct data analysis and data visualization in Python Jupyter Notebook. 

Marketing Clustering + Machine Learning

Use machine learning technics to make prediction on marketing data. 

Life Is a Trade-Off - Conjoint Analysis with Hierarchical Linear Modeling

Life is a trade-off but you got to make decision! With hierarchical linear model, estimating both the overall average preference level on product features and individual preferences within the group becomes feasible! 

Yes or No? Predicting Purchasing Decision with Logistic Regression

It is possible to predict whether a customer will be attracted by a certain offer using a general linear model - logistic regression model. 

Brand Perception and Perceptual Map

​Use primary component analysis(PCA) and explanatory factor analysis(EFA) to minimize the complexity of data and build perception map that will help the company better position itself in the marketplace. 

Understand the Satisfaction Driver

Understand the correlation between variables, especially how predictor variables can fit into a model that best describe the outcome variables. 

US Baby Name Trend

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Colinearity in Consumer Data

Deal with collinearity in consumer records.