Julio Perez

Julio's self-described strength is data analytics — ETL, visualization, predictive models — and the standout repo backs the theme: a machine-learning model for estimating Dominican Republic house and land prices, a nicely localized applied-data idea. Across five Python/HTML/JS repos the interests span data, web, and a couple of verticals. Honest limits apply: a 0.8 abandoned ratio, zero stars, no deployments, no commits last year, and no external contributions, so this is independent project work rather than maintained or peer-reviewed output. An early-career analyst whose most interesting signal is that one regionally-relevant modeling project.