
Over six months, contributed to Vizzuality’s amazonia-360 and tnc-blue-carbon-cost-tool repositories by building data-driven features for geospatial analysis and carbon project modeling. Developed AI-powered regional summarization and multilingual description generation using Python, FastAPI, and Streamlit, integrating ArcGIS and OpenAI APIs to automate insights and support localization. Enhanced the Blue Carbon Tool with JSON-driven project initialization, Excel data ingestion, and robust cost modeling, including breakeven analysis and abatement potential calculations. Applied data engineering and financial modeling skills to improve forecasting, scenario planning, and error handling, resulting in scalable, maintainable tools that streamline decision support for environmental and economic stakeholders.
June 2025 monthly summary for Vizzuality/tnc-blue-carbon-cost-tool. Focused on delivering JSON-driven project initialization, expanding conservation scenario coverage, and hardening cost calculations to improve forecasting accuracy and business value.
June 2025 monthly summary for Vizzuality/tnc-blue-carbon-cost-tool. Focused on delivering JSON-driven project initialization, expanding conservation scenario coverage, and hardening cost calculations to improve forecasting accuracy and business value.
May 2025 performance: Delivered two core features for Vizzuality/tnc-blue-carbon-cost-tool with clear business value and robust metrics. Key features: (1) Blue Carbon Project Restoration Plan Refinement and Maintenance Cost Adjustment — refines restoration plan calculations to cap restored area within project size, updates cost estimates and financial projections, and simplifies base maintenance cost retrieval via the project's maintenance attribute; restoration plan initialization established across all ecosystems. Commits: 7a584215435c4d9f625395cb16077af8d0303ee0; c155aec172cad6eb3afc95ebae1ccd45cb203394. (2) Total Project Abatement Potential Calculation and Display — computes net emissions reduction and total abatement potential, exposes results in project summary, and defaults to zero on calculation errors. Commit: 62caf1c8ea64b1da9589855b7514062cefb685dd. These changes include robust error handling to prevent incomplete summaries. Impact: improved budgeting, forecasting, and decision-making through reliable, transparent metrics. Technologies/skills demonstrated: Python data modeling, financial projection logic, error handling and validation, and ecosystem-wide initialization."
May 2025 performance: Delivered two core features for Vizzuality/tnc-blue-carbon-cost-tool with clear business value and robust metrics. Key features: (1) Blue Carbon Project Restoration Plan Refinement and Maintenance Cost Adjustment — refines restoration plan calculations to cap restored area within project size, updates cost estimates and financial projections, and simplifies base maintenance cost retrieval via the project's maintenance attribute; restoration plan initialization established across all ecosystems. Commits: 7a584215435c4d9f625395cb16077af8d0303ee0; c155aec172cad6eb3afc95ebae1ccd45cb203394. (2) Total Project Abatement Potential Calculation and Display — computes net emissions reduction and total abatement potential, exposes results in project summary, and defaults to zero on calculation errors. Commit: 62caf1c8ea64b1da9589855b7514062cefb685dd. These changes include robust error handling to prevent incomplete summaries. Impact: improved budgeting, forecasting, and decision-making through reliable, transparent metrics. Technologies/skills demonstrated: Python data modeling, financial projection logic, error handling and validation, and ecosystem-wide initialization."
April 2025 monthly summary for Vizzuality/tnc-blue-carbon-cost-tool: Delivered feature-rich updates to the Blue Carbon Tool, enhancing economic modeling, data integration, and scenario planning. Implemented country-specific data and expanded datasets to enable granular carbon accounting and more accurate financial projections. Introduced project versioning and improved project structure to support multiple model versions and easier maintenance. Added spatial data capabilities with country geometries for visualization and spatial analysis. Completed batch data refreshes (Excel-based assets and cost data) to reflect updated costs and country data used by the tools.
April 2025 monthly summary for Vizzuality/tnc-blue-carbon-cost-tool: Delivered feature-rich updates to the Blue Carbon Tool, enhancing economic modeling, data integration, and scenario planning. Implemented country-specific data and expanded datasets to enable granular carbon accounting and more accurate financial projections. Introduced project versioning and improved project structure to support multiple model versions and easier maintenance. Added spatial data capabilities with country geometries for visualization and spatial analysis. Completed batch data refreshes (Excel-based assets and cost data) to reflect updated costs and country data used by the tools.
March 2025: Delivered updates to the Blue Carbon Cost Tool, including data ingestion updates to support a new Excel format, refactoring of initialization and cost calculation logic, improved user-facing displays and markdown outputs, and introduction of a breakeven cost calculator with an iterative price determination class and expanded JSON output for cost breakdowns and breakeven results. Documentation and notebook updated accordingly. No major bugs reported for this module in this period.
March 2025: Delivered updates to the Blue Carbon Cost Tool, including data ingestion updates to support a new Excel format, refactoring of initialization and cost calculation logic, improved user-facing displays and markdown outputs, and introduction of a breakeven cost calculator with an iterative price determination class and expanded JSON output for cost breakdowns and breakeven results. Documentation and notebook updated accordingly. No major bugs reported for this module in this period.
February 2025: Delivered the Region Description Generator feature for Vizzuality/amazonia-360, enabling automated, multilingual region narratives with configurable detail levels. This work improves localization readiness, content scalability, and reduces manual description effort.
February 2025: Delivered the Region Description Generator feature for Vizzuality/amazonia-360, enabling automated, multilingual region narratives with configurable detail levels. This work improves localization readiness, content scalability, and reduces manual description effort.
January 2025 monthly summary for Vizzuality/amazonia-360: Delivered an AI-powered regional summarization demo that enables audience-tailored region insights by selecting a map bounding box. The feature integrates a FastAPI backend with a Streamlit frontend, fetching data from ArcGIS and OpenAI to generate concise summaries for geospatial regions. Implemented end-to-end data flow: user draws a bbox on the map, backend queries ArcGIS data, OpenAI generates an audience-tailored summary, and the result is displayed in the UI. This work is captured in commit cbd7be9c3cc376d7c19fa992b88dc7b7a7aefd97 (Data/ai demo #102). The feature enhances decision support by providing quick, context-aware regional briefs and is designed for reuse across other regions and audiences, enabling scalable stakeholder communication and faster insight delivery.
January 2025 monthly summary for Vizzuality/amazonia-360: Delivered an AI-powered regional summarization demo that enables audience-tailored region insights by selecting a map bounding box. The feature integrates a FastAPI backend with a Streamlit frontend, fetching data from ArcGIS and OpenAI to generate concise summaries for geospatial regions. Implemented end-to-end data flow: user draws a bbox on the map, backend queries ArcGIS data, OpenAI generates an audience-tailored summary, and the result is displayed in the UI. This work is captured in commit cbd7be9c3cc376d7c19fa992b88dc7b7a7aefd97 (Data/ai demo #102). The feature enhances decision support by providing quick, context-aware regional briefs and is designed for reuse across other regions and audiences, enabling scalable stakeholder communication and faster insight delivery.

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