As a member of the Loan Valuations & Forecasting team at DriveTime, strides were made in enhancing financial forecasting accuracy and optimizing business decision-making. This role involved improving forecast precision, effectively reducing errors and contributing to increased net present value. Additional projects included evaluating two distinct data science models through innovative scoring techniques to establish depreciation tiers based on vehicle factors. Additionally, two unique tier cut frameworks were developed; one reflected historical customer distributions, while the other segmented clients into equal parts for comprehensive performance analysis. Daily mentorship sessions fostered professional growth and supported the creation of detailed presentations for bi-weekly executive briefings, ensuring clarity around critical project milestones for senior leadership.Competencies: Financial Forecasting, Data Science Techniques, Risk Assessment Frameworks, Executive Communication Skills

As a Risk Analytics Intern at DriveTime, the role focused on transforming complex financial data into actionable insights that enhanced organizational decision-making. A key project involved designing an interactive Forecasted Cash Flow Dashboard using Tableau, providing a comprehensive view of financial performance across the organization. By creating detailed distinctions for a wide array of cash flows, visibility into key financial metrics improved substantially. The role also involved refining charge-off forecast accuracy, reducing discrepancies and contributing to improved financial outcomes. Regular updates were presented to senior leadership, including the CEO and CFO, sharpening data storytelling skills and fostering stronger stakeholder engagement.Competencies: Financial Analysis, Data Storytelling, Stakeholder Engagement, Risk Management