I’m an Agricultural Engineer specialized in GIS, Remote Sensing, and Data Analysis, with over seven years of experience in the agricultural sector.
My work has focused on field inspections, seed production oversight, and agribusiness operations, where I’ve applied both technical and analytical skills to ensure traceability, data accuracy, and compliance with national seed regulations.
I hold advanced training in Data Science (Universidad Austral) and Geographic Information Systems and Remote Sensing (University of Buenos Aires). Through these programs, I gained strong experience in using Google Earth Engine, QGIS, and Python for analyzing satellite imagery, vegetation indices, and production monitoring. I’m currently pursuing a Master’s degree in Data Mining at the University of Buenos Aires, further strengthening my analytical and programming abilities.
My professional background includes technical roles in both public and private institutions. At the National Seed Institute (INASE), I perform field inspections of seed production lots and commercial establishments, manage reports, and handle technical documentation. In previous positions, I worked on agribusiness logistics, crop monitoring, and data management using CRM systems such as Salesforce and Rojosoft.
I’m fluent in English and Spanish, comfortable working remotely, and highly detail-oriented. I enjoy tasks that involve structured data, geospatial information, and technical writing.
Key skills and tools:
• GIS & Remote Sensing: QGIS, Google Earth Engine,
• Programming & Data Analysis: Python , Excel,
• CRM & Productivity: Salesforce, Rojosoft, Microsoft Office
I’m interested in remote or part-time collaborations related to data analysis, GIS mapping, geospatial data interpretation, or agronomic consulting.
My goal is to combine my agronomic experience with data-driven tools to help organizations improve traceability, monitoring, and decision-making processes.