Starbuck’s Capstone Challenge

who is engaged in coffee offers?

It’s a capstone project of the data scientist course in Udacity. The data set contains simulated data that mimics customer behaviour on the Starbucks rewards mobile app. Once every few days, Starbucks sends out an offer to users of the mobile app. A customer who received the proposal would be rewarded when his/her cumulated consumption over the designed threshold. The data set includes three files, they are:

Problem Statement / Metrics

Data exploring and clean

Data Clean

Q1: who are responsive to coffee offers?

Data pre-processing

Exploring Data Analysis

Q2: How much someone will spend based on demographics and offer types?

Data pre-processing

Metrics and Model selection

Results

Improvement

Parameters analysis

Conclusion

Accomplished Data Scientist researcher with a passion for delivering valuable data through analytical functions(Telecommunication and Supply Chain Analytics)

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