01
Clean dataset
Make this concrete enough that another engineer can understand what you built and why.
CAREER PROJECT · Intermediate · 2 weekends
Customer Churn Analysis + Model
Build interpretable churn analysis from raw data through validation and stakeholder recommendations.
PythonSQLModelingFeature engineeringCommunication
DEFINITION OF DONE
Leave artifacts a reviewer can inspect.
02
Baseline model
Make this concrete enough that another engineer can understand what you built and why.
03
Validation report
Make this concrete enough that another engineer can understand what you built and why.
04
Feature analysis
Make this concrete enough that another engineer can understand what you built and why.
05
Decision memo
Make this concrete enough that another engineer can understand what you built and why.
RESUME / PORTFOLIO FRAMING
Describe what you actually did.
Developed and validated an interpretable churn model and translated key drivers into prioritized retention recommendations.
Use this as a starting structure, then replace it with your real implementation details, metrics and constraints. Do not claim outcomes you did not measure.
STRETCH GOALS
Go deeper if the core is already solid.
Calibration
Add only if it strengthens the engineering story instead of delaying a finished, deployable core.
Cost-sensitive threshold
Add only if it strengthens the engineering story instead of delaying a finished, deployable core.
Monitoring
Add only if it strengthens the engineering story instead of delaying a finished, deployable core.