Columbus, Ohio, United States
Data Analyst with a background in Financial Crime Compliance and Financial Services. Through my academic training and self-learning, I have developed strong analytical skills in data cleaning, analysis, and visualization using tools such as SQL, Excel, Python, and Power BI. My experience in financial services has helped me build a strong foundation in data accuracy, risk analysis, regulatory reporting, and attention to detail—skills that naturally align with data analytics. I enjoy working with data to identify patterns, support decision-making, and present insights in a clear and meaningful way. I am currently seeking entry-level Data Analyst roles or Data Analytics internships where I can apply my analytical skills, continue learning industry-relevant tools, and contribute to data-driven business outcomes. Key Skills: SQL | Excel | Python | Power BI | Data Cleaning | Data Visualization | Financial Data Analysis | Risk & Compliance Data
• Executed end-to-end CDD and EDD reviews for complex, high-risk customer profiles to prevent money laundering and terrorist financing risks. • Conducted rigorous Sanctions and PEP screening utilizing World Compliance, verifying documentation and escalating positive matches to senior management. • Analyzed Adverse Media through LexisNexis, investigating global negative news to accurately assess and document potential reputational and operational risks. • Managed and audited large-scale compliance datasets using Microsoft Excel, leveraging advanced filtering and functions to streamline record-keeping and eliminate duplicate alerts. • Investigated and resolved screening alerts, clearing false positives efficiently while maintaining a clear audit trail of all compliance decisions.