Jillian User

I’m a Business Analytics & Marketing student building a foundation in marketing analytics, research, and data-driven decision-making. Through projects and coursework, I focus on turning messy data into clear insights that stakeholders can act on.

In my Ad Fraud Behavior Analysis capstone, I analyzed large digital traffic datasets across 2,863 country reports and 625 state reports to evaluate how socio-economic events shift fraud behavior. I cleaned and validated data by removing over 2.1 million duplicate records, then used Interrupted Time Series Analysis (ITSA) and K-Means clustering to identify fraud trends and event-driven changes in mobile botnet activity.

I’ve also applied Python-based modeling in my NYC Housing Market Analysis project to analyze 84,000+ property sales and identify key price drivers, pairing modeling with visualizations and clustering to compare neighborhoods. Alongside my analytics work, I bring practical experience from an Equity First Consulting internship supporting client databases and targeted outreach, and from customer-facing experience where I used personalized recommendations and upselling to increase purchase value.