My Projects

Explore my portfolio of work and case studies

Big Data Final Project

Hedonic Pricing Model

Data Analysis

Final project for the Big Data course at the University of Chicago. Used hedonics to build a model on a dataset of almost 4,000 home sales in Los Angeles in 2021. The project reveals that neighborhood context is key to pricing; Random Forest leads with R² ≈ 0.64.

Python Machine Learning Real Estate XGBoost Random Forest Data Science
Cross-Shopping Analysis

Cross-Shopping Analysis

Data Analysis

Network analysis of customer flow patterns across retail tenants to identify synergistic relationships.

Python NetworkX Data Visualization Retail Analytics
Portfolio Foot-Traffic Analysis

Portfolio Foot-Traffic Analysis

Data Analysis

Comprehensive foot-traffic analysis identifying top-performing shopping centers using Visits/Sq Ft, repeat-visit loyalty, and composite quality scores to guide capital allocation decisions.

Python Plotly Placer.ai Foot Traffic Portfolio Analytics Real Estate
SHOPCORE Portfolio Analysis

SHOPCORE Portfolio Analysis

Data Analysis

An analysis of the SHOPCORE portfolio, using various data analysis techniques.

Python Data Analysis Pandas Retail Analytics Plotly Data Visualization Location Analytics
Using Neural Networks to Predict Housing Prices

Using Neural Networks to Predict Housing Prices

Data Analysis

Machine learning analysis using neural networks to predict home values in Los Angeles County with census and housing data.

Python Neural Networks Machine Learning Real Estate TensorFlow Data Science