Kala Fejzo.

Predicts annual Los Angeles Airbnb revenue by combining Zillow and listing data across four machine-learning approaches.

Built forhosts and investors deciding what a Los Angeles listing is realistically worth

Turns government org charts and agency lists into CRM-ready leadership data using document parsing, web research, and AI. Teammates with less technical expertise needed it too, so the pipeline was packaged as an app they can run themselves.

Built forbusiness development and operations teammates who need clean leadership lists and would never touch a notebook

Compares CAL FIRE hazard zones, Zillow home values, and Census income across LA County ZIP codes in an interactive explorer of wildfire exposure versus real-estate performance.

Built forreal estate professionals and homebuyers who want to read wildfire risk and housing value side by side without opening a spreadsheet

Models social communities in Neo4j to uncover influential users, graph structure, and patterns of engagement.

Built forcommunity and marketing teams who want to see who actually influences whom

Studies how listening behavior relates to self-reported mental health through multivariate statistical analysis.

Built forreaders with no statistics background who still want to understand what the data says