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insurance-fraud-risk-scoring

Insurance claims fraud risk scoring: dbt feature layer, XGBoost + SHAP explainability, FastAPI scoring API, Streamlit reviewer dashboard.

  • class-imbalance
  • data-engineering
  • data-science
  • dbt
  • explainable-ai
  • fastapi
  • fraud-detection
  • insurance
  • machine-learning
  • mlops
  • portfolio-project
  • python
  • shap
  • streamlit
  • xgboost
View on GitHub
Stars
1
Forks
0
+ today
+1
Created
1mo

Ranking data as of October 28, 2026 (UTC).

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Overview

Insurance claims fraud risk scoring: dbt feature layer, XGBoost + SHAP explainability, FastAPI scoring API, Streamlit reviewer dashboard. It ranks #1107 on GitTiger, gaining +1 star on October 28, 2026 (UTC).

The project is written in Python. It was created 1mo ago.

Installation
git clone https://github.com/cher-ry2003/insurance-fraud-risk-scoring.git
cd insurance-fraud-risk-scoring
# see README for setup