You are building a model to flag battery cells that are likely to fail later in the manufacturing lifecycle, using only telemetry collected during early production steps. The goal is to catch bad cells before expensive downstream assembly and testing, while keeping false rejects low enough that yield is not harmed.
How would you build a model to predict battery cell failure based on early-stage manufacturing telemetry?