Long Dang Email & Phone Number

Rising graduate student in Statistics seeking a career path in Data Science.

• Student Research Assistant

  Missouri Institute For Defense & Energy

  Jun 2023 - Aug 2023 - Kansas City, Missouri, United States

  • Implemented advanced data preprocessing techniques, including feature selection/extraction, dimensionality reduction, and clustering analysis, to handle highly uncorrelated and small datasets with precision.• Executed feature selection/extraction methods such as Recursive Feature Elimination (RFE), Principal Component Analysis (PCA), Factor Analysis, Fast Independent Component Analysis (Fast ICA), Sparse PCA, and K-Means. This resulted in a remarkable 50% reduction in data size while preserving the same information.• Pioneered the integration of Machine Learning models, specifically K-Nearest Neighbors (KNN) Regressor and Random Forest Regressor, as alternatives to conventional Electromagnetic (EM) software like CST and FEKO. This innovative approach not only optimized the design process for antennas but also significantly lowered costs and expedited project timelines.