Raúl Ramírez Espinosa

Automated 50+ global KPIs using Python (Pandas & Numpy) + Power BI, consisting on automatic SAP data download via Excel macros and Power Query. Built interactive Power BI dashboards with robust data models and DAX measures to support executive decision-making across Latam, US and Asia. Implemented Python web scraping with Selenium + BeautifulSoup to integrate critical data from systems without database access. Partnered with senior leaders and cross‑functional teams to translate strategic questions into actionable analysis.

Led the implementation of SPC systems across multiple production lines by developing and maintaining SQL Server stored procedures that automated data ingestion from machine‑generated CSV files. Designed data‑cleaning logic and optimized ETL workflows to ensure high data quality and system reliability. Debugged and enhanced existing stored procedures and database structures, resolving issues that impacted real-time process monitoring. Performed data extraction and statistical analysis directly from physical tables to evaluate production performance and support decision-making. Collaborated with engineering teams to drive continuous improvement through DOE methodologies and Kaizen events.

Conducted database analysis to track KPI statuses and assess the impact of process improvements. Utilized BI tools such as Data Studio to design KPI dashboards, providing real-time insights for decision-making. Additionally, I conducted process diagnoses to pinpoint areas for improvement and utilized continuous improvement methodologies like DIMAIC and PDCA to create projects