Master’s student in Green Data Science with a first-class degree in Zoology, combining technical skills in data science with domain expertise in climate, biodiversity, and land-use systems. Experienced working across the full data lifecycle, from data collection and pipeline design to modelling and visualization alongside communication and presentation skills.
MSc Green Data Science · University of Lisbon (ISA) · in progress
Applied ML · Python · Data Management · UAV & LiDAR · Fire Behaviour · Natural Resource Economics
PGCE Secondary Science · University of Exeter · Outstanding
Science Pedagogy · Communication · Metacognition · Leadership
BSc Zoology · University of Reading · First Class Honours
Ecology · Bioinformatics · Statistics · Phylogenetic Modelling
My data science work is grounded in real-world environmental contexts
| Year | Topic | Location | Relevance |
|---|---|---|---|
| 2018 | Phenotypic plasticity | Spain 🇪🇸 | Amphibian dataset collation & morphometric data analysis |
| 2017 | Carbon Value Assessment | Indonesia 🇮🇩 | REDD+ carbon accounting via 50m² rainforest habitat plots |
| 2016 | Phylogynetic Modeling | Indonesia 🇮🇩 | Computational modeling of evolutionary relationships with Bayestraits |
| 2015 | Biodiversity | Mexico 🇲🇽 | Multi-method biodiversity data collection |
- UAV — Geospatial modeling for forest health assessments
- Big Data - HPC Land-use model development with Sentinel-2 Data
- Python - Desktop GUI app, interactive library game
- SQL - Scalable relational database and automated data pipeline for cross-country crop breeding analysis
- R - 3D forestry modeling from Lidar data
Open to opportunities, collaborations, or just a chat
