Data Scientist & Conservation Researcher with extensive experience in tropical ecology and data analysis. Combining technical expertise with environmental research to drive impactful solutions.
- Programming: Python, R, SQL, Excel, Unix OS
- Data Science: Pandas, Seaborn, Matplotlib, Scikit-learn, GeoPandas, tidyverse, vegan, lme4
- Visualization: Tableau, ArcGIS, QGIS, Adobe Photoshop & Illustrator
- Machine Learning: Experience in applying ML for remote sensing in data-poor environments
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PhD Candidate - Centre for Ecology, Evolution and Environmental Changes, University of Lisbon & UWE (2016-2019)
- Focus: Bat ecology and ecosystem networks in tropical agro-ecosystems
- Applied machine learning for remote sensing in data-poor countries
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MSc - Biodiversity and Conservation, University of Leeds (2009-2010)
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BSc - Zoology, University of Nottingham (2004-2007)
- Developed automated data processing systems using Python
- Created H5 reporting dashboards for fiscal data visualization
- Implemented real-time spreadsheet and reporting data integration
- Extensive field research across multiple countries:
- Kenya, Malawi, Madagascar, Ghana, Sierra Leone, Guyana, India
- Led CCB data collection for Gold Rainforest National Park in Sierra Leone
- Published research using generalized linear mixed models/GLMMs
- Strong quantitative and qualitative data sampling methodology experience
- Completed IO Academy's 12-week Data Science Bootcamp
- Datacamp's Data Science Professional course certification
- Multiple scientific publications in journals and policy reports
- 5+ years of administrative and project support in NGOs and government
- Experience working with diverse cultural backgrounds
- Expertise in grant writing and funding applications
- Workshop organization and volunteer management
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[Title of your most recent/significant publication]
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[Title of second publication]
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