Francisco Quinzán

Development of advanced reports and dashboards in Power BI for monitoring and visualizing operational KPIs, facilitating data-driven decision-making. Extraction, modeling, and transformation of production, sales, and cost data using SQL and business intelligence tools, ensuring data quality and reliability. Reduction of operational costs by approximately 15%. Design of data structures and generation of key efficiency and profitability indicators, contributing to the continuous improvement of production processes and waste reduction. Implementation of analysis processes with Python and SQL queries to detect patterns and deviations in production, supporting strategic resource management such as seeds, substrates, and energy.

I validated and verified the quality of Google and Google Maps search results by analyzing large volumes of data to identify deviations or errors. I detected inconsistencies and proposed improvements in data quality, working daily in English and ensuring compliance with established rules.

Extracted and structured data from ERP systems (SAP) for the evaluation of operational indicators such as loading times, efficiency, and utilization. Objective: reduce loading times by more than 5%. Identified inefficiencies in production processes through data analysis, developing improvement proposals with ROI estimation and results tracking. Objective: increase bulk truck loading by 5-10%. Prepared technical reports and managed structured information in relational databases, contributing to the improvement of industrial processes.