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Avatar for Sandra Blevins Sandra Blevins
February 10, 2016
Business
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27

Branch8 consulting work

Actionable insights and retention prediction modeling from e-commerce seller profiles

Avatar for Sandra Blevins

Sandra Blevins

February 10, 2016
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Transcript

  1. Sandra Blevins Insight Data Science Insights in Action: Building e-commerce

    seller profiles to predict retention

  2. ? eBay Amazon

  3. Goal Keep sellers active and happy! Build seller profiles, predict

    retention/churn

  4. Export MongoDB Clean Python regex, NumPy, pandas, JSON Database schema

    Seller profiles Predictive modeling Python scikit-learn

  5. Seller profiles Active Churn ? 7 days

  6. Seller profiles Active 7 days Churn ?

  7. Seller profiles Active 7 days Churn ?

  8. Seller profiles Active 7 days Churn ?

  9. Seller profiles Active 7 days Churn ?

  10. Number of sellers Active sellers in Shanghai, Hong Kong, and

    Singapore

  11. 300+ Number of orders Active sellers have more orders

  12. 300+ Number of orders Active sellers have more orders Active!

  13. Active sellers Inactive sellers

  14. Sellers of electronics with active Malaysian customer base Deliverable: actionable

    insights on seller profiles

  15. sklearn.ensemble.RandomForestClassifier 10-fold cross validation Accuracy = 93%, AUC = 71%

    n-orders is best predictor of activity n orders n platforms mean price

  16. Organize database Codes and flowsheets Customer profiles New feature recommendations

    for modeling

  17. Sandra Blevins Education: Physics Ph.D. 2015, The Catholic University of

    America, Washington, DC Dissertation: The Distribution of Volatiles in Protoplanetary Disks Love: travel, nature, art, yoga