Philip Cwynar

Augmenting and improving operational insurance processes to support dynamic data extraction for downstream activities. After analyzing over 1000 varying insurance documents, we have utilized supervised classification machine learning models with probabilistic means inserted at critical decision points in the flow. We cut down the operation cost of the initial files onboarding process by 50% using ML models/Process in place of humans in the loop.

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