Machine Learning for Telecom Business

Built machine learning (ML) model that can help reduce inventory costs, enhance free cash flow by continuously predicting high propensity return cohorts, minimize drive-up programs/offers, predict consumer propensity to default payments, and drive write-off reduction programs. With the ML model, the constructive approach to consumer recognition and mitigation lowered returns by 10 percent to 20 percent, which means that the projected savings will be $13 million - $26 million per year

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