Reshaped the organization’s approach by introducing artificial intelligence methodologies to ongoing remote sensing projects. Successfully implemented these methodologies into ongoing projects, specifically in deforestation monitoring and land cover analysis, with the overarching goal of reducing environmental impact and enhancing resilience through proactive, data-driven decision making.
Developed scripts for task automation, utilizing both Python and GEE code editor. These scripts streamlined routine organizational processes for remote sensing analysis, including Python scripts in PyQGIS, ArcGIS Python, and Geospatial scripts in GEE. Significantly boosting operational efficiency.
Overseeing a project focused on surveying and monitoring coffee farms, addressing client needs and offering recommendations to ensure satisfactory results, team collaboration, delivering key performance indicators, and maintaining control over project meetings and progress.
Independently executed a project utilizing algorithms to identify potential deforestation in palm oil plantations of 3800 hectares, for RSPO certification using GIS methodologies (Remote Sensing approach within areas of interest).
Supporting field work related to land surveying to acquire the boundaries and information inside recovery areas, while concurrently focusing on gathering training points for the machine learning algorithms.
Education
EL BOSQUE UNIVERSITY Bogotá, Col
Environmental Engineer Bachelor Feb 2022
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