I am a Biologist specialized in Environmental Compliance and Integrated Solid Waste Management for high-impact industries. My work bridges biological science, regulatory frameworks (NOMs / LGPGIR), and data‑driven decision-making in sustainability.
I am currently transitioning into Data Science for Conservation, applying tools like Python and R to address environmental challenges and support ESG-focused projects.
🔭 I’m currently working on:
Land-use and land-cover change analysis in Protected Natural Areas (ANP) and corporate waste management plans.
🌱 I’m currently learning:
Advanced SQL, machine learning for ecology.
💼 Goal:
To design and implement circular economy strategies backed by rigorous environmental and operational data.
| Spatial Assessment of Urban Expansion in a Protected Area | Integrated Municipal Solid Waste Management Assessment |
|---|---|
| Spatial analysis of land use and land cover change (LULCC) in a peri-urban Protected Area using Google Earth Engine, GIS, NDVI time series, and reproducible analysis in R, with a focus on urban pressure and ecosystem degradation. | Data-driven diagnosis of municipal solid waste management systems, integrating regulatory analysis (Mexican framework), operational data, and spatial tools to support decision-making and sustainability strategies. |
View Code / Repository |
View Code / Repository |
| GeoInsight 3D – Interactive Geospatial Data Viewer | Hazardous Waste Management Assessment (Multi-Site Operations) |
|---|---|
| Web-based 3D geospatial visualization platform built with CesiumJS, enabling interactive exploration of CSV and GeoJSON datasets without backend dependencies. Designed for environmental, climatic, and territorial data analysis and communication. | Assessment of hazardous waste management practices across multiple operational sites, focusing on waste classification, handling, storage, and regulatory compliance, with potential scalability to industrial and extractive sectors. |
View Code / Demo |
In development |
