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1. 2021_project__ReviewMiner 2021_project__ReviewMiner Public

   a PyPI package for analyzing customer reviews using aspect-based opinions mining and sentiment analysis

   Python 5 1

2. 2020_project__Customer_Segmentation_and_Campaign_Response_Prediction 2020_project__Customer_Segmentation_and_Campaign_Response_Prediction Public

   ☕️Customer segmentation to identify the parts of the population that best describe the core customer base of the company; Predict which individuals are the most likely to respond to the company's m…

   Jupyter Notebook

3. 2020_project__Starbucks_Ad_Campaign_Optimization 2020_project__Starbucks_Ad_Campaign_Optimization Public

   Based on the result data of an ad campaign experiment (randomly split the customers into control and experiemnt group), determine in the future what types of customers should be sent promotions to …

   Jupyter Notebook

4. 2020_project__Starbucks_Reward_Response 2020_project__Starbucks_Reward_Response Public

   Use transaction, demographic and offer data to determine which demographic groups respond best to which offer type and possible ways to use historical data to reduce ad spending

   Jupyter Notebook 1

5. 2020_project__Music_Streaming_App_Churn_Prediction 2020_project__Music_Streaming_App_Churn_Prediction Public

   Churn prediction for a fictional music streaming app with pyspark mlib

   Jupyter Notebook

6. 2019_project__Disaster_Response_Pipeline 2019_project__Disaster_Response_Pipeline Public

   Pipeline for classifying messages sent out during disaster events and building and running a small web app for message classfication

   Python