Overview
What this challenge is about.
You are a data scientist intern at TaskFlow. Using the provided dataset, perform feature engineering and build a logistic regression or decision tree model to predict churn. Identify the top three factors contributing to churn and propose targeted interventions. Success is a model with AUC > 0.75 and a clear, prioritized action plan for the customer success team.
CredentialBlockchain-anchored
ShareableLinkedIn-ready
LanguageEnglish
PaceSelf-paced
The Brief
What you'll do, and what you'll demonstrate.
What are the key drivers of churn among mid-sized accounts at TaskFlow, and what interventions can reduce churn by 20%?
Earning criteria — what you'll demonstrate
- Apply logistic regression and decision trees for classification
- Perform feature engineering and selection for predictive modeling
- Evaluate model performance using appropriate metrics
- Translate model insights into a business strategy to reduce churn
Program Fit
Where this fits in your program.
Sharpens the same skills your degree expects you to demonstrate.
Skills
Skills you'll demonstrate.
Each one shows up on your verified credential.
Careers
Roles this prepares you for.
Real titles. Real skill bridges. Pick the one closest to your trajectory.
Career mappings coming soon.