Conduct company financial analysis, custom fertilizer research projects and conceptualize, construct and maintain global commodity supply/demand models across the main fertilizer nutrients for nitrogen, ammonia, phosphate, and potash commodities. Publish ammonia, urea, UAN, phosphate, and potash price forecasts using predictive modeling with industry expertise.

Turn urea fertilizer market data into information useful for decision-making and quantify the business value of information, demand, and growth opportunities.

Negotiated sales prices, contracts and coordinated shipments to domestic and export customers for 1.0 M stons of ammonium nitrate. Managed the customer and business facing side of ammonium nitrate products to sell out volumes that coincide with management, marketing operations, and netback opportunities. Accountable for customer identification and business development, sales management, and supply chain management for ammonium nitrate products. Identified and established partnerships with critical customers in target markets; provided market guidance on the company's overall nitrogen portfolio (ammonia, urea, AN and UAN) to secure premium pricing. Developed, implemented and managed Excel demand planning processes and tools to maintain production rate goals at maximum operating rates.

Provided agricultural global business intelligence and market analysis on issues of production and demand, prices, including forecasts, trade and policy.Maintained daily supply curves for global agricultural commodities. Develop near term weather forecast and analysis related to cropland area and fertilizer application. Turned agricultural data into information useful for decision-making and quantify the business value of information and demand opportunities.

Enabled big data computing and satellite imagery analysis / GIS for forecasting agricultural production. Developed analytical stochastic weather models to inform agribusiness decision making. Forecast yield and production of major commodity crops worldwide by integrating agronomic principles with quantitative models utilizing spatial information on weather, the physical environment, crop conditions, management and economic factors.

Model economic factors driving cropland use and change with ArcGIS and provide policy analysis on farmland use.

Environmental Remediation