
Saving the world's coral reefs, one line of code at a time.
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
University of Cambridge
Data Scientist
June 28, 2026 – Present
coral-cover-economics
January 17, 2026 – Present
Projecting the impact of coral cover decline under climate change on the economic valuation of reef ecosystem services
View ProjectRoyal_Society_seagrass_carbon_remote_sensing
January 2, 2026 – Present
Predicting seagrass core carbon density from remote sensing data.
View Projectesgpull-plus
October 8, 2025 – Present
Future fork of ESGF data transfer and replication tool adding API to circumvent the CLI
View Projecttessera-interactive-map
July 9, 2025 – Present
Interactive land cover classification of TESSERA embeddings
View ProjectMyanmarEQ2025
March 29, 2025 – April 22, 2025
2025 Mw-7.7 Earthquake Impact Assessment in Myanmar and Thailand using Remote Sensing Data
View Projectcoralshift
February 15, 2023 – February 24, 2025
Predicting present coral coverage from time series of environmental variables
View Projecthurricane-harm-herald
January 19, 2023 – May 16, 2023
A python codebase to predict building damages after hurricanes. Project from the AI4ER CDT at the University of Cambridge.
View Projectshared-infrastructure
August 17, 2022 – August 17, 2022
Details of 4C's shared compute resources and other services.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on environmental science and data analysis. While this demonstrates initiative and a passion for data science, the lack of diverse team-based or industry-specific projects makes it difficult to fully assess cultural fit for a typical corporate environment. The current role at the University of Cambridge as a Data Scientist aligns well with the target role, but the start date is in the future (2026), which is unusual. The projects show a strong inclination towards research and scientific application.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions suggest an ability to work on complex, interdisciplinary problems, which may indicate strong problem-solving and analytical skills. However, no direct assessment of communication, teamwork, or stress handling is available.