• Deliver analysis and desired deliverables for the foundational data applications, reporting, and analytics relating to the retail originations, revolving account originations, and other ancillary products.• Develop and disseminate competitive intelligence gathered through monitoring and researching relevant data sources.• Coordinate with constituent groups, including CNHI Capital Sales Teams, Dealer Sales Teams, captive Brand equipment Sales Teams, and others to develop business strategies that support and promote CNHI Capital products/services.• Design innovative data strategies that will enable consistent, trusted, and available data across the company supporting growth and productivity.• Design enterprise frameworks and target operating models to be adopted across the company in support of new data capabilities.• Enable efficient, effecting working relationships with business and technology partners.• Define, implement, and monitor metrics and KPIs to enterprise data strategy and ensure ongoing strategic alignment with short- and long-term business objectives.

• Collaborate with colleagues across the globe to standardize loss forecasting methodology.• Estimate and calculate quarterly loss forecasts based on CECL and IFRS9 standards and policies.• Develop and implement accurate origination and behavioral scorecards for loan and lease customers.• Supervise one senior specialist and one specialist.• Serve as Risk team subject matter expert for the new revolving line of credit product.

I have successfully executed operations of presenting robust RV analysis and recommendations to senior executives at quarterly North America RV Committee meetings.Highlights of my major accomplishments: • Analyzed and approved RVs for $1M+ deals, averaging three per week as well as supervised one senior specialist.• Mitigated $7M+ annually by developing and improving regression models for RV calculations in SAS.

I have actively liaised with business reporting and IT departments to retrieve accurate datasets for thorough analysis or operating lease residual values. Highlights of my prominent contributions:• Reduced exposure by $255K through forming and implementing an audit process for reserved RVs in 2019.• Delivered quarterly depreciation analysis of operating lease portfolios to the accounting and finance department.• Coordinated with asset remarketing, sales, and finance teams to find impacts of RV on business operations.

I have managed the largest annual survey conducted by the agency, which focused on farms' financial information. Highlights of my key accomplishments: • Increased response rate by over 3% while within the budget of $5.5M.• Efficiently applied research findings of respondent characteristics to improve data collection strategies.• Forecasted accurate budget needs and response rates built on payroll costs, sample sizes, and data collection methods.• Presented response summary and analysis to the Agricultural Statistics Board.• Monitored data collection of 12 Regional Offices and coordinated technical processes amongst the HQ staff.

I have proficiently engaged as principal SAS programmer for summary and analysis of the new current agricultural industrial reports (CAIR). Highlights of my key contributions:• Created summary and imputation programs using SQL in SAS and delivered four new monthly reports.• Presenting methodologies overview to senior executives in preparation for optimal initial data release.• Generated ad-hoc data analysis tools in SAS to assist statisticians in conducting multiple surveys.

I served as the principal methodologist and SAS programmer for the monthly citrus forecasting program by utilizing linear regression models. Highlights of my major contributions:• Reduced +$30K data collection cost annually by minimizing sample sizes for crops outperforming target CVs.• Coordinated with various statisticians to generate official citrus forecasts consistently more accurately than private forecasters.• Standardized a formerly subjective process and found annual tree attrition factors.

I headed numerous state-level surveys for quarterly crop production, county estimates, timber, and floriculture.The highlight of my prominent contribution in this role:• Executed all facets of estimating state-level estimates of sorghum, oats, livestock slaughter, along with milk and livestock rates.