Pros
Hands-on experience working with real datasets and deploying models in production.
Got exposure to end-to-end ML pipeline including data preprocessing, training, evaluation, and monitoring.
Supportive environment for learning new tools
Cons
Some projects lacked clear documentation, requiring more self-navigation.
Would benefit from more structured peer reviews on model design.