Andrés Rojas Morales

Designed and implemented data-driven workflows that significantly reduced the time required for critical business decisions across finance, supply chain, and procurement teams.

Developed and evaluated predictive models using Python and scikit-learn, enhancing forecasting accuracy and supporting proactive decision-making.

Established comprehensive data quality and validation strategies, ensuring accuracy, consistency, and reliability of daily business reports.

Leveraged Microsoft SQL Server, Excel, and Access to integrate and manage large datasets, utilizing Python with APIs, Pandas, and NumPy for robust data cleaning, transformation, and validation.

Automated data ingestion and reporting processes using Power Automate, streamlining operations and improving efficiency.

Implemented document data extraction workflows using PyPDF2, digitizing and processing large volumes of documentation to enhance data accessibility.

Delivered daily Power BI dashboards and reports, providing timely and trusted insights that directly supported strategic business objectives.

Executed high-accuracy certification and calibration measurements for medical equipment, adhering to internationally accredited standards and ensuring precision.

Systematically recorded, managed, and validated high-precision calibration data in large databases using Microsoft Office tools (Excel and Access).

Ensured 100% data integrity, traceability, and full compliance with international regulatory and quality requirements through meticulous data management.