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I work mainly with Google Earth Engine, using the Python API. I am exploring Kivy for multiplataform programming in python. I'm a Forest Engineer.
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LDC
Data Scientist
June 19, 2026 – Present
gee-extraction
December 23, 2021 – January 11, 2022
Extract Features from Google Earth Engine Scripts
View Projectgeedatasets
June 11, 2020 – January 29, 2025
Google Earth Engine Datasets (hard)coded in Python for easier manipulation
View Projectgeepillow
April 29, 2020 – August 29, 2025
Create Image Strips and Grids using images pulled from Google Earth Engine
View Projectgeecomposite
October 15, 2019 – January 29, 2025
Make cloud-free Landsat and Sentinel 2 composites using Google Earth Engine Python API
View Projectipygee
May 20, 2019 – October 25, 2024
A set of tools for working with Google Earth Engine Python API in Jupyter notebooks
View Projectpyepicollect
February 12, 2019 – August 9, 2020
Read EpiCollect 5 (https://five.epicollect.net/) data from python
View Projectpygeeltr
June 19, 2018 – August 13, 2020
LandTrendr using the Python API of Google Earth Engine
View Projectgeetools-code-editor
February 22, 2018 – October 2, 2023
A set of tools to use in Google Earth Engine Code Editor (JavaScript)
View Projectgeebap
October 27, 2017 – May 30, 2024
Best Available Pixel (BAP) composite in Google Earth Engine (GEE) using the Python API
View Projectgeetools
April 7, 2017 – Present
A collection of tools to work with Google Earth Engine Python API
View ProjectCultural Fit Analysis
The candidate's projects are highly focused on Google Earth Engine and geospatial data processing, indicating a deep specialization. While this shows dedication, the lack of diversity in project domains and technologies might suggest a narrow scope of interest, potentially impacting adaptability to broader data science challenges. The candidate's current role as 'Data Scientist' at LDC aligns with the target role, but the lack of details about this role makes it difficult to assess the breadth of their professional experience.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are clear but do not provide insight into collaboration, problem-solving approaches, or communication style.