Many data practitioners are familiar with Monica Rogati’s adage that data science-primarily involves counting. However, counting can be very challenging when working with messy data. To make counting easier, specifically for use cases wherein developers must denoise logs to facilitate analysis, Netflix has released Derand. Derand uses pre-trained character-level CNNs that operate on character embeddings to perform text tokenization and cleanup of possibly random words.