Tony Good, Phd Email & Phone Number

Reston, Virginia, United States

Columbus, Ohio, United States

• Managed nearly 50 sales forecasts for companies across a wide range of industries, including Wal-Mart, Disney, HP, Samsung, Proctor and Gamble, Milwaukee Tool, Pella, Suntory Global Spirits, Dick’s Sporting Goods.
• Consistently beat industry standards for forecast accuracy by leveraging advanced forecasting techniques such as time series regression, econometric modeling, and machine learning algorithms
• Delivered accurate same store sales comp rate forecasts (<4% error rates) to Dick’s Sporting Good’s CFO for DSG Brick & Mortar, Golf Galaxy Brick & Mortar, Ecommerce, and Athletic Apparel leading to contract renewal
• Delivered accurate topline sales forecasts (<3% error) to Beam Suntory executives on total spirits sales and whiskey sales in the U.S. The performance and delivery of the forecasts lead to several contract renewals
• Delivered long-range CAGR forecasts to Energizers executives to aid in sales and operations planning
• Created and presented executive summaries, dashboards, and graphical data representations to business leaders on current macro trends, including inflation, consumer spending, industrial production, housing market.

Columbus, Ohio, United States

• Act as thought leader and subject matter expert during all phases of a customer engagement, from initial discussions through project delivery and expansion of the Prevedere footprint
• Heavily use time series regression combined with other forecasting methods to assist customers in improving forecast accuracy and delivering business insights
• Produce executive read-outs, dashboards, and graphs to communicate the insights and outcomes to business leaders and executives
• Work with sales, customer success, and other members of the Prevedere team to ensure the customer maximizes the value of the Prevedere software
• Strategically formulate new and creative ideas with the product and development teams

Reston, Virginia, United States

• Forecasted eBird visitation rates in the Pacific Northwest utilizing a range of methods including mean, naïve, seasonal naïve, linear regression, ARIMA, and machine learning to provide accurate predictions for.
• Scheduled and designed stakeholder meetings to gather public opinions on the economic benefits provided by the Nisqually River Delta, aiding in the prioritization of conservation efforts.
• Created a contingent valuation survey to quantify the economic value of recreational fishing in the Susquehanna River, PA, supporting policy decisions and conservation strategies.
• Developed a hedonic price model to analyze the impact of a land restoration project on housing prices, revealing significant value increases in nearby residential areas.
• Formulated a dynamic optimization model to estimate the economic worth of tribal Chinook salmon fishing in the Nisqually River Delta, taking into account varying climate change scenarios to aid in sustainable resource.

Reston, Virginia

• Classified land use using a random forest classifier and the simple non-iterative clustering algorithm in Google Earth Engine’s JavaScript API
• Participated in economic research and data analysis for several projects using R, ArcGIS, and Tableau
• Completed a rapid benefits assessment of the J.N. “Ding” Darling National Wildlife Refuge
• Compiled, summarized, and analyzed GIS data

Arlington, VA

Fairfax, VA

Public Policies and Economic Problems: Summer 2018Intermediate Macroeconomics: Spring 2017, Fall 2017Environmental Economics for the Citizen: Spring 2017, Spring 2018Principles of Microeconomics: Fall 2016

Tutored students in principles of microeconomics, principles of macroeconomics, financial management, managerial accounting, accounting 101, trigonometry, business calculus, and basic algebra

Doctor Of Philosophy - Phd, Economics

Master'S Degree, Economics

Bachelor Of Science (B.S.), Business Economics

Activities and Societies: Omicron Delta Epsilon, Beta Gamma Sigma, WSU Men's Rugby