A data enthusiast who greatly relies on rationale, quick thinking, and adaptability to perform in any environment. Highly enthusiastic in researching and strong drive to learn with hopes of gaining experience and building a solid skillset.
Predicting customer churn using a classification model. Using a preexisting dataset, data cleaning, data manipulation, EDA, and data preprocessing were performed. A retention program in the form of a discount program was developed by finding the maximum discount amount that can be provided for each customer.
Python
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