Developed predictive models using machine learning techniques to assess the likelihood of audits in policy data, specifically Worker’s Compensation and potentially General Liability commercial policies. The objective is to determine which policies may be audited in the upcoming calendar year based on historical data and model predictions.
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Developed predictive models using machine learning techniques to assess the likelihood of audits in policy data, specifically Worker’s Compensation and potentially General Liability commercial policies. The objective is to determine which policies may be audited in the upcoming calendar year based on historical data and model predictions.
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dcelik7/InsuranceAuditPrediction
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Developed predictive models using machine learning techniques to assess the likelihood of audits in policy data, specifically Worker’s Compensation and potentially General Liability commercial policies. The objective is to determine which policies may be audited in the upcoming calendar year based on historical data and model predictions.
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