Automated Data-Cleansing Framework for Transactional RecordsAutomated Data-Cleansing Framework for Transactional Records
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"Engineered an automated data-cleansing framework to audit, normalize, and restructure high-error transactional records. By resolving systemic data anomalies—including string irregularities, duplicate entity entries, schema mismatches, and null variances—this pipeline elevated raw, unreliable logs into clean, decision-ready assets primed for business intelligence modeling."
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