Firza Riany

Geographic Information Systems Analyst @Climate Analytics

Berlin, DE

Engineered an open-source spatial analysis tool at a 1km x 1km resolution to model country-level forest expansion factored by increased fire risks, addressing methodological critiques of climate impacts and securing in funding- Designed an end-to-end Python pipeline for optimally ingest and serve raster via FastAPI in Docker environment, reducing disk storage utilization by 70% and enabling interactive web-based GIS tool- Managed prompt-engineering to develop AI-powered research assistant that consolidates scientific papers with LLMs and auto-generate references via Zotero APIs, cutting review time by 80%- Constructed and maintained a cloud-based GIS database, ensuring seamless availability of 50+ processed datasets for climate modeling and renewable energy site identification- Defined indicators to track global carbon sink progress, supporting 60% increase from 2020 to 2050 and enhancing accountability for forest restoration goals- Determined optimal locations for wind farms across the Philippines using geospatial analysis on a cloud platform, identifying 30% of land as suitable and increased energy production by 20%- Executed a project to identify optimal locations for forest expansion, projecting the potential to sequester 500 million metric tons of CO₂, leading to government partnerships.

IPB University

Bachelor's degree, Forestry

AgroParisTech

Master's degree, Forestry and Agriculture

University of Eastern Finland

Master's degree, Forestry and Agriculture