Student Developer (Customer churn prediction project)
Don't disclose
Built an AI customer churn prediction system using machine learning, involving preparing data for model training workflows and validating results. Worked with classification modeling to learn patterns from customer-related features and output churn likelihood. The work supported iterative training and evaluation as part of the project lifecycle. • Used Python to develop and run ML pipelines for churn modeling. • Applied Flask to integrate the trained model into an application service. • Performed data preprocessing steps required for training and evaluation. • Validated model behavior through experimentation during project development.
2023 - Present