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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
r.earthworks
October 7, 2024 – Present
A terrain modeling tool for the GRASS geocomputation engine
View Projectcomputational-design-library
July 28, 2023 – March 5, 2025
A collection of Python scripts and Grasshopper definitions for the book Computational Design for Landscape Architects
View Projectgenerative-design
December 12, 2020 – March 5, 2025
Scripts for generative art and design
View Projectcomputational-ecology
November 16, 2017 – May 18, 2018
Open education resources for the landscape architecture studio on Computational Ecology
View Projectgeospatial-modeling-course
July 15, 2017 – October 13, 2019
Open educational materials for a landscape architecture course on geospatial modeling
View Projectpanama_hydrological_modeling
April 12, 2017 – June 2, 2020
Hydrological modeling and analysis of the Greater Panama Canal Watershed in GRASS GIS
View Projectlandscape_evolution
February 17, 2015 – July 6, 2021
A short term landscape evolution using a path sampling method to solve water and sediment flow continuity equations and model mass flows over complex topographies.
View ProjectCultural Fit Analysis
The candidate's projects are primarily personal and academic, focusing on computational ecology, design, and geospatial modeling. While these areas can align with data science, the lack of team-based or industry projects makes it difficult to assess cultural fit for a collaborative professional environment. The project diversity is good within a specific niche, but broader applicability to diverse data science problems is not explicitly shown.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, and no psychometric or English test results are available.