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  1. Project-RideFare-Analysis Project-RideFare-Analysis Public

    Análisis de 690k+ datos de Uber/Lyft con Python. Estudio del impacto climático en la demanda y precios (Surge Multiplier). Proyecto destacado del Bootcamp de Datos ESPOL.

    Jupyter Notebook

  2. piagget-v-obando piagget-v-obando Public

    Data Analyst & Chemical Engineer | Especialista en Business Intelligence. Transformo datos complejos en decisiones estratégicas mediante Python, SQL y Power BI. Experto en modelado relacional (3FN)…