Financial Data Analyst with a strong background in accounting, including bookkeeping, financial reporting, and cost analysis, combined with hands-on experience in fraud analytics and machine learning. Skilled in detecting anomalous patterns, handling imbalanced datasets, and improving fraud detection performance using data-driven approaches. Proficient in Python, SQL, and data visualization to support financial analysis, risk mitigation, and data-driven decision-making.