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Spearska/README.md

K.A. Spears | Healthcare Fraud & FWA Analyst

Fraud Investigator | FWA & SIU Analyst | Claims Review | Medicare/ACA | AML/KYC | 100% Remote


About Me

I'm a results-driven fraud and compliance professional with 20+ years of experience across healthcare, financial services, and insurance sectors. I specialize in detecting and preventing Fraud, Waste, and Abuse (FWA) in Medicare, Medicaid, and ACA programs — combining deep domain expertise with data analytics to identify patterns, reduce losses, and protect program integrity.

Currently building a focused analytics portfolio demonstrating real-world fraud detection skills in SQL, Python, and data automation.


Core Competencies

  • Fraud Detection & Investigation — SIU, FWA, AML/KYC, claims fraud patterns
  • Healthcare Claims Review — Medicare, Medicaid, ACA, medical billing audits
  • Data Analytics — SQL queries, Python scripting, statistical anomaly detection
  • Regulatory Compliance — CMS guidelines, HIPAA, anti-fraud regulations
  • Reporting & Documentation — Case documentation, SAR filing, decision tree logic

Featured Repositories

Repo Description
fraud-detection-sql SQL queries for detecting fraud patterns in transactions, accounts, and claims
transaction-anomaly-detection Python script for detecting anomalies in transaction data using statistical methods
fraud-rules-engine Rule-based fraud detection logic and decision trees
data-analysis-automation Python and Excel automation for data analysis and business intelligence reporting

Certifications & Training

  • Anti-Money Laundering (AML) Certified
  • Fraud, Waste & Abuse (FWA) Certified
  • ACA Certified
  • Healthcare Compliance Training

Connect

  • LinkedIn: linkedin.com/in/kaspears
  • Open to: Fraud Analyst | Claims Analyst | FWA Investigator | Claims Examiner | Healthcare Data Analyst
  • 100% Remote | Available Immediately

Popular repositories Loading

  1. fraud-detection-sql fraud-detection-sql Public

    SQL queries for healthcare FWA detection, Medicare/Medicaid claims fraud patterns, and financial transaction anomalies

  2. transaction-anomaly-detection transaction-anomaly-detection Public

    Python script for detecting anomalies in healthcare claims and transaction data — supports FWA investigation and fraud pattern analysis

  3. fraud-rules-engine fraud-rules-engine Public

    Rule-based FWA and fraud detection logic, decision trees, and scoring models for healthcare claims and financial transactions

  4. data-analysis-automation data-analysis-automation Public

    Python and Excel automation for fraud case data analysis, FWA reporting, claims data processing, and business intelligence dashboards

  5. Spearska Spearska Public

  6. healthcare-fwa-claims-review healthcare-fwa-claims-review Public

    SQL and Python analysis for healthcare FWA detection, Medicare/Medicaid claims review, and fraud pattern identification