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We developed machine learning and deep learning models to predict whether a consumer would return as a customer, while also creating an automated system to manage average handling time (AHT) for customer service. Additionally, we built a comprehensive retention dashboard in Tableau, providing real-time insights and enabling data-driven decisions for eBay managers.
$400K annually.
through improved operational efficiency.
Deployed supervised ML and deep learning models to classify high-return-potential customers. Engineered a monitoring tool for eBay managers to track and optimize AHT in real time.
Consolidated retention metrics into a single interface, giving managers immediate visibility into churn rates and service bottlenecks.
resources
$800K annually.
$1M annually
$200K annually.
$600K annually.
$400K annually.
