• Independently identify fraud patterns and trends utilizing advanced analytical techniques, data mining, and visualization dashboards. • Develop, validate, and implement fraud rule logic to mitigate financial loss and improve the client experience.• Make decisions in a timely manner while balancing the need for action with the need for data analysis.• Develop critical fraud metric reporting and ongoing monitoring routines.• Communicate fraud-related incidents to key stakeholders.• Participate in the development of business cases to support fraud strategic initiatives.• Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

• Located and extracted data from a variety of sources for use in analysis using Teradata SQL and SAS.• Worked with the business unit for KPI creation and goal setting.• Analyzed customer survey data to develop actionable insights to drive customer behavior with Tableau dashboards.• Supported process improvement and project management engagements for both individual business units and cross-divisional initiatives.• Presented findings to Operational Analytics leaders.• Mentored interns in learning the tools and processes used for reporting and analysis in Delta Cargo.

• Interpreted data, analyzed results using statistical techniques, and provided ongoing reports.• Maintained and updated the company’s tariffs.• Assisted the IT Department in testing and implementing rates in the company's Estimates system.• Filed and uploaded rates for various government agencies.• Developed and implemented reporting, databases, data collection systems, data analytics, and other strategies that optimized statistical efficiency and quality.

• Created customized business course content for corporate clients.• Designed business-based lectures, role-playing scenarios, case studies, and small-group seminars.• Taught analytics and finance to clients from various IT companies.• Actively promoted the Wall Street English brand to potential clients at events.

• Translated data into reports that adhered to client specifications using queries.• Spearheaded the use of predictive models in reports.• Provided client-support solutions and investigated client inquiries by phone and email. • Accurately performed testing functions associated with the development of custom software.

• Trained learners in analytical techniques using SQL and MS Excel.• Led learners in conducting economic and financial data research using various data sources.• Imported financial and economic data from databases to create predictive models.• Led learners in creating data visualizations of economic and financial data.• Provided learners with introductions to finance and economics.• Built financial statement forecast models for learning purposes.• Trained learners on how to prepare written financial analysis reports.