Duy Nguyen Email & Phone Number

Seattle, Washington, United States

• Detailed impact of supply chain interruption on international businesses by 2018 import tariffs to advance understanding of economic impact and future actions.
• Merged and filtered 4 different government datasets to apply Panel Fixed Effect and Causal Forest to predict the causal features and the clustered-base impact on businesses
• Surveyed causal business’s characteristics identified by the model through a webapp and predicted how the business impact is different from the average impact of 11% reduction in quantity sold

Greater Memphis Area

• Data Science Research ProjectsPredict Risks of Neighborhood Pollution
• Explored and analyzed data about more than 1,300 sites considered by the Environmental Protection Agency to be harmful to residents using Caret and Broom R packages.
• Built and trained a binary classification model of the sites to be contaminated or not, using logistic regression, support vector machine and random forest machine learning techniques to predict the risk factors of.
• Used interrupted time series with the Federal Housing Finance Agency’s housing price index to establish the causal relationship between changing the milestone status of a site on local home value.

Vietnam

• Cooperated with the Melbourne team to create and deliver dynamic, ongoing curriculum development and instructional improvement program.
• Consistently received high evaluations from students and professors.

Vietnam

• Managed, cleaned and updated over 10 years of import value and quantity of key crop protection active ingredients obtained directly from national customer ports.
• Utilized text recognition, clustering, and the advanced query to predict competitor’s sales volume from raw import data.
• Reduced business intelligence collection timeframe from weeks to less than an hour, by eliminating manual conversations with distributors and with more accuracy.
• Communicated insights and findings with the team to set up marketing activities.

United States

• Predicted and appraised the market value of a commercial property investment project depending upon the local market demand and demographics.
• Through collaborating with engineers and local government administrators, analysis of risk and financial relocation projections which resulted in about a 10% increase in ROI.

Doctor Of Philosophy - Phd, Economics

Master Of Business Administration - Mba, Finance, General