Theme
Data, Models & Decisions
From exploratory notebooks to business decisions.
This theme gathers the work where I moved back and forth between data and decision. It includes the Machine Intelligence coursework at USC (IDSN 599), marketing analytics with k-means customer segmentation (MKT 566), data-warehousing and BI pipelines (DSO 528), data-science at scale (DSCI 550), and the statistical foundations I built with Stanford’s online Statistics course and the INSPIRIT AI Fellowship.
The through-line is honest interpretation: when the data supports a decision, when it doesn’t, and how to write the uncertainty into the recommendation rather than out of it.
Essays
Leveraging multiple machine learning models to gain insights into evolving customer behavior during the transition to a post-pandemic new normal
Dec 8, 2022
Pandemic-era signal in consumer data: what Peloton's rise and reversal reveal about subscription retention when behavior snaps back.
Exploring the Intersection of GANs Technology, and Right of Publicity Law: A New Paradigm for Publicity and a Potential Headache for Lawyers
Jun 21, 2022
On how generative adversarial networks are outrunning the Right of Publicity — and what a new legal paradigm might look like.
Prototypes
- USDA Food Access Research Atlas — North County San Diego
Analyzing food-desert conditions in San Diego's North County by comparing USDA census-tract data from 2015 and 2019 — tracking shifts in poverty, SNAP enrollment, and demographic composition across 72,864 tracts.
- Peloton Customer Churn Analysis
Investigating why Peloton customers reduce usage — combining 273 survey responses with geocoding (GeoPy) and U.S. Census demographics to surface churn patterns across age, income, and geography.