Lucia Castellano

At Belong, I designed the complete pricing logic behind a production AI pricing agent, creating deterministic rules and standalone, bundle, and bulk price structures across repair categories.

I partner with Product to translate pricing logic into agent skills that enable structured pricing decisions without case-by-case human review. I’m also standardizing repair trades and tasks to build the data foundation for pricing automation.

I deployed an R linear regression model for cleaning prices as a live Google Sheets calculator used daily by Operations. Using SQL, Metabase, Excel, and spreadsheet models, I support pricing decisions, revenue tracking, and real-time Sales and Home Quality needs across roughly 75 repair and maintenance reports each week.

I also analyzed more than 1 million online retail transactions in Python and Pandas, identifying Q4 seasonality and customer retention opportunities. I’m looking for data and business analytics work where analysis drives a decision rather than a dashboard.