Experience
SyCip Gorres Velayo & Co. (SGV, Ernst & Young)
Climate Risk Modeling & Assessment
- Led TCFD-aligned climate risk assessments for 500+ assets across floods, landslides, and extreme rainfall.
- Built hydrodynamic flood and slope-stability models in Python and QGIS to produce forward-looking risk maps.
- Automated Earth Engine workflows to track turbidity and land-water change from remote-sensing indices.
Business Development & Client Engagement
- Co-authored technical proposals for new client engagements and led vulnerability & exposure workshops linking risk metrics to business impact.
Targeted Collaborations
- Assessed climate risk for an agribusiness spanning the Philippines and Indonesia, integrating crop-sensitivity with temperature and precipitation anomalies.
- Ran hydrometric and river-height analyses for a feasibility study to inform infrastructure siting.
Reporting & Communication
- Delivered executive dashboards, reports, and decks translating model outputs into clear recommendations.
- Leverages AI as a thought partner to build and optimize automation scripts and modeling workflows, accelerating analysis turnaround.
Philippine Institute of Volcanology and Seismology (PHIVOLCS)
- Developed integrated geospatial workflows to assess seismic and secondary-hazard risk, cutting data-processing time by 50%.
- Built Python scripts for spatial hazard-exposure extraction, automating multi-layer overlay analyses in ArcGIS/QGIS.
- Synthesized field and remote-sensing data into risk-assessment deliverables for national hazard mapping.
University of the Philippines – Resilience Institute (UPRI)
- Supported scenario-based flood and volcanic hazard modeling, processing large raster datasets for baseline and future-climate runs.
- Automated Ash3d volcanic dispersion simulations via Bash and Python for rapid multi-scenario outputs.
- Authored scientific briefs in LaTeX to communicate hazard-risk results to multidisciplinary teams.
GIS Specialist — Nature-Based Solutions
- Performed suitability mapping to identify sites where mangroves can be restored.
- Identified ARR (Afforestation, Reforestation & Revegetation) -eligible areas suitable for restoration through coffee, cacao, and bamboo planting.
- Integrated geospatial datasets (land use, terrain, environmental constraints) to support site selection and prioritization.
GIS Specialist — Satellite Imagery QC
- Conducted quality control and validation of satellite imagery datasets used for AI model training and evaluation.
- Reviewed spatial accuracy, classification consistency, and feature integrity across large image datasets.
- Ensured high-quality annotated inputs to support reliable machine learning outputs.
Data & GIS Analyst — NetCDF Analysis
- Processed and analyzed large-scale NetCDF datasets to extract spatial and temporal patterns.
- Conducted oceanographic analysis of eddies using Python-based workflows.
- Automated data extraction, processing, and visualization for efficient handling of multi-dimensional datasets.
Sustainability Data Analyst
- Designed and implemented a multi-criteria decision analysis (MCDA) framework using Analytic Hierarchy Process (AHP) and TOPSIS.
- Constructed pairwise comparison matrices and applied normalization techniques to derive weights for SDG-aligned indicators.
- Processed multi-dimensional datasets (health, climate, water, land use, economic impact) to evaluate sustainability performance.
- Computed closeness coefficients and produced ranked outputs for comparative assessment of plant-based oils.
AI-Assisted GIS Development (Self-directed initiative)
- Integrated AI-assisted development to build and optimize bespoke geospatial algorithms and automation scripts, streamlining analysis workflows.
- Independently pursued self-directed projects applying AI/LLM tools to explore practical applications within GIS and climate-risk analytics.
Researcher & Web Scraper
- Developed automated web scraping workflows using Python and Selenium to extract structured data from online sources.
- Collected and compiled product and market datasets, then cleaned, structured, and validated them for downstream analysis.