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FinTech –Lending Club Intelligent Investment Advisor 

April 2017– May 2017

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  • Built a secondary credit model, on the top of Lending Club’s first credit model, to calculate the ROI (return of investment). The project’s target was to build a product to identify the ROI values of projects in Lending Club

  • Feature engineering with python (Pandas and Numpy) (1,320,000+ data processing (JSON, CSV format)

  • Built the model by Gradient Boosting Tree

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Github

https://github.com/StephanieZ001/Fintech/blob/master/Fintech_final_2018.ipynb

 

Tools: Python sklearn, pandas, numpy, one-hot encoding, random forest, decision tree, gradient boosting tree, pickle

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