Causal Analysis of GE Crop Efficiency
Explores causality framework modeling to analyze increases in agriculture productivity attributed to GE.
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Experience working with large datasets to build statistical models, uncover relationships, and deliver actionable insights. Skilled in econometric analysis, quantitative methods, and spatial data integration using R and ArcGIS Pro. Analytical work emphasizes precision, reproducibility, and practical application to finance, strategy, and economic decision-making.
Coursework includes Econometrics, Economic Analysis of Data, Economics of Competitive Strategy, International Trade Economics, Intermediate Microeconomics, Intermediate Macroeconomics, Statistics, and Calculus—emphasizing analytical reasoning, quantitative modeling, and applied economic theory.
Explores causality framework modeling to analyze increases in agriculture productivity attributed to GE.
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Project relying on remote-sensed IRRG data from the ESA to model NDVI values by season.
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Program designed to parse HTML content into arrays for calculations.
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Project which used regression models to analyze car prices within the Used Car Market.
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