Sneider Rincón Castrillón

Materials Engineer with experience in industrial environments, especially in manufacturing, quality, and document management, including the fabrication of implantable medical devices and infrastructure projects. Expert in data collection, validation, and analysis, KPI monitoring, and preparation of executive reports for decision-making, under ISO 13485 and ISO 9001 standards. Currently pursuing a specialization in Data Science, with strengths in intermediate-advanced Excel, analysis of large data volumes, Power BI, creation of reports, and data analysis, oriented to continuous improvement, operational efficiency, and strategic value generation.

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Scaling Data Insights: Enhancing Portfolio Workflows

Building a Data Science Portfolio

Working on the data-science-portfolio project involves creating a centralized space to showcase analytical capabilities. A key challenge in maintaining a portfolio is keeping data exploration, modeling pipelines, and visual outputs organized and reproducible for stakeholders.

The Problem: Data Fragmentation

Initially, data projects were scattered across