- Tools: Git, Python(numpy, matplotlib, pandas, sklearn), Jupyter Notebook
- Conducted exploratory data analysis to segment customers and find potential relationship between subscription and covariates including demographics, campaign activities and economic data.
- Performed machine learning algorithms including Random Forest, Logistic Regression, Naive Bayes and SVM on predicting subscription rates with over 90% accuracy.
- Provided insights on how to optimize marketing efforts.
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