Transforming geospatial data into sustainable solutions – bridging technology, environment, and global impact.

With over a decade of expertise as a GIS Analyst and Agricultural Engineer, I specialize in turning complex spatial data into actionable strategies for environmental sustainability. My journey began in Bolivia, where I honed my technical skills in GIS tools (QGIS, ArcGIS) and programming (Python, R) while working on critical projects like deforestation risk analysis for the World Bank and optimizing irrigation systems with GIZ.

My passion lies at the intersection of data science and environmental stewardship. From mapping 10,000 km of Bolivia’s road network to predicting deforestation trends with machine learning models, I’ve consistently delivered solutions that balance ecological health and economic viability. Collaborating with international organizations like GreenLAC and the Eco.Business Fund has deepened my commitment to global sustainability, driving me to design systems that empower communities and protect natural resources.

A lifelong learner, I hold certifications in IBM Data Science and Machine Learning, ensuring my work stays ahead of technological curves. Beyond technical prowess, I thrive in multicultural teams, bridging gaps between stakeholders, governments, and technical experts. When not analyzing maps or coding, I advocate for open-source GIS tools and mentor emerging professionals in Latin America’s environmental sector.

Values: Integrity in data, innovation for sustainability, and collaboration as the catalyst for change.

Work Terms

Hours: Flexible, aligned with client time zones (GMT-3 to GMT-4). Available for urgent projects with advance notice.

Payment: Fixed project rates or hourly billing (USD), invoiced biweekly. 30% deposit required for large-scale projects.

Communication: Prefer email (wtorrico@gmail.com) or LinkedIn for updates. Weekly progress reports and milestone reviews.

Delivery: Transparent workflows with draft submissions for feedback. Up to 2 revisions included in scope.

Confidentiality: Strict adherence to NDAs and data privacy protocols. Source files and reports delivered securely via encrypted platforms.

Ethics: Commitment to environmentally responsible projects. Reserve the right to decline work conflicting with sustainability principles.

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