This project applies multiple statistical learning techniques to model breast cancer malignancy using cellular nuclei measurements. It compares classical statistical methods and deep neural networks to improve diagnosis accuracy, with careful parameter tuning yielding the highest accuracy using neural networks.
Key Skills: Data Analysis, Neural Networks, Medical Diagnostics, Feature Engineering.
Read MoreThis project investigates the environmental impact of international trade in OECD countries. Utilizing data from the OECD, we analyzed carbon emissions embodied in both import and export activities. The findings revealed stark differences between OECD and non-OECD countries, with critical implications for future trade policies.
Technologies: Data Visualization, Environmental Analysis, International Trade Data.
Read MoreIn this project, I collaborated on the development of an optimized redistricting plan for Washington State. Using algorithmic methods, we aimed to balance population distribution while maintaining electoral fairness. This project showcased my ability to apply machine learning techniques to real-world political problems.
Technologies: Machine Learning, Algorithmic Optimization, Geographic Data Analysis.
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