John Mosugu

• Conduct in-depth data analysis using SQL and Python to identify fraud patterns, potential vulnerabilities in transactions, customer accounts, and internal systems.
• Develop and implement machine learning models to predict and detect fraudulent activities in real time, resulting in a reduction in fraud cases year over year.
• Collaborate with cross-functional teams (fraud investigators, IT, and compliance officers) to develop and refine fraud prevention strategies, policies, and procedures.
• Generate detailed reports and dashboards for senior management to track fraud trends, risks, and mitigation efforts.
• Assist in building and maintaining fraud detection algorithms for transactional monitoring and customer behavior analysis.
• Perform root cause analysis of fraud incidents, and provide actionable insights for improving fraud prevention measures.

• Supported senior analysts in data collection and analysis of fraud cases, providing insight into suspicious activities and trends.
• Applied data mining techniques to identify anomalies and irregularities in customer behavior and transactions.
• Assisted in the creation of automated fraud detection tools, enhancing the speed and accuracy of fraud alerts.
• Conducted post-fraud investigations to validate claims and report findings to management and relevant stakeholders.
• Worked with law enforcement and legal teams to support investigations and provide evidence when needed.

Analyzed large datasets to detect anomalies and suspicious patterns indicative of fraud.
Developed and maintained SQL queries and stored procedures to extract and analyze data from multiple sources.
Assisted in the design and implementation of anti-fraud strategies, resulting in a decrease in fraud losses.
Participated in regulatory compliance audits, and contributed to the enhancement of internal control measures.
Supported in data extraction, cleaning, and preprocessing for fraud detection projects.
Monitored and reported on key fraud metrics to ensure alignment with business objectives.

Conducted reviews of flagged transactions and reports that showed potential suspicious activity.

Implemented customer verification processes, significantly reducing the risk of fraudulent account creation.

Coordinated with law enforcement and other external agencies to support fraud investigations and prosecutions.

Conducted interviews with customers to verify their identity and validate information.