Experience
SyCip Gorres Velayo & Co. (SGV, Ernst & Young)
Climate Risk Modeling & Assessment
- Led TCFD-aligned climate risk assessments for 500+ assets, quantifying exposure to floods, landslides, and extreme rainfall under multiple RCP scenarios.
- Designed hazard models (hydrodynamic flood simulations; slope-stability analyses) using Python (NumPy, xarray, rasterio) and QGIS to generate forward-looking risk maps.
- Automated Google Earth Engine workflows to assess turbidity and land-water change using remote-sensing indices, supporting climate-risk interpretation and exposure mapping.
Business Development & Client Engagement
- Drafted and co-authored technical proposals that supported multiple climate risk assessment engagements; facilitated vulnerability & exposure workshops to align risk metrics with business impacts and adaptation strategies.
Targeted Collaborations
- Conducted climate-risk assessment for an agricultural company with operations in the Philippines and Indonesia, integrating crop-sensitivity models with temperature and precipitation anomaly analyses.
- Performed hydrometric and river-height analyses for a feasibility study, informing infrastructure siting and design.
Reporting & Communication
- Produced executive-level dashboards, technical reports, and slide decks; translated model outputs into clear recommendations for senior stakeholders.
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 spatial analysis and suitability mapping to identify potential investment areas for nature-based solutions projects.
- Integrated geospatial datasets (land use, terrain, environmental constraints) to support site selection and prioritization.
- Developed GIS-based workflows to inform sustainable land management and climate-resilient investments.
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.
Researcher & Web Scraper
- Developed automated web scraping workflows using Python and Selenium to extract structured data from online sources.
- Collected and compiled datasets (e.g., product and market data) for analysis and downstream applications.
- Performed data cleaning, structuring, and validation to ensure usability for downstream applications.
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.