Raphael Meira Lima
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Retail · ~2020–2021

A major Brazilian retail group with consumer credit

Problem
Scale credit decisions for retail finance with a consistent risk policy.
Role
Data science coordinator.
Approach
Decision-engine design, capacity-to-pay, limits, behaviour monitoring, and pre-approval patterns.
Impact
More consistent credit decisioning integrated with retail operations.
Lessons
A decision engine only scales when the business owns the policy behind it.

Related capabilities

  • Credit risk decisioning
  • Change management for AI
  • Applied machine learning

All cases are anonymized. Outcomes are described qualitatively and are not presented as public financial results of any named employer.