I’m a USC student passionate about transforming data into insight through deep learning and applied analytics. My work bridges quantitative reasoning and creative problem-solving across finance, retail, and public health.
Applied Deep Learning (Keras) to predict asset returns using Goyal & Welch (2008) dataset, outperforming linear factor models with a DNN capturing non-linear relationships.
Tools: Python, TensorFlow, Pandas | Finance Analytics
Forecasted department-level sales using deep learning and statistical methods on Walmart Kaggle dataset to inform pricing and promotional strategies.
Tools: PyTorch, Scikit-learn, SQL | Retail Analytics
Analyzed transmission networks to identify superspreaders and key infection pathways using network science and epidemiological modeling.
Tools: R, NetworkX, Gephi | Public Health Analytics