Projects

Econometrics

Walmart Sales Forecasting

Description

Built a time-series forecasting project to predict Walmart daily sales across Foods, Hobbies, and Household categories using M5 competition data. Applied Ridge, Lasso, and Random Forest models to compare predictive performance and identify category-level sales patterns.

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Machine Learning

Insurance Risk Classification

Description

Developed a machine learning classification pipeline to assess insurance risk using patient health and demographic data. The project focused on feature engineering, model training, performance evaluation, and risk segmentation to support more data-driven underwriting decisions.

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Product Design

TrojanSync

Description

Designed an all-in-one shared calendar app for USC students as an AI Case Competition semifinalist project. The product integrates academic scheduling, team coordination, campus event discovery, and personal planning to improve student productivity and collaboration.

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Natural Language Processing

NLP Project

Description

Collaborated on a team NLP project to analyze unstructured text data through preprocessing, feature extraction, and natural language processing techniques. The project explored how text analytics can be used to uncover patterns and generate actionable insights.

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Data Analytics

SQL for Business Analytics

Description

Created a business-focused SQL project covering database fundamentals, joins, aggregations, KPI calculations, and analytical query techniques. The project demonstrates how SQL can be used to extract insights and support data-driven business decisions.

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