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GoogleCloudPlatform
Data Scientist
June 23, 2026 – Present
jobs-demos
March 17, 2022 – Present
Cloud Run Jobs Demos - A collection of samples to show you how and when to run a container to completion without a server
View Projectsamples-style-guide
January 11, 2022 – Present
Guidelines on writing effective Google Cloud samples.
View Projectcloud-build-samples
March 4, 2021 – Present
Code snippets used in Cloud Build documentation
View Projectworkflows-samples
November 11, 2020 – Present
This repository contains samples for Cloud Workflows.
View Projectnodejs-docs-samples
May 4, 2015 – Present
Node.js samples for Google Cloud Platform products.
View Projectgithook_cook
February 23, 2011 – February 24, 2011
Cook up Git workflows with Git Hooks and PHP scripting.
View Projectoa_feeds
August 23, 2010 – September 15, 2010
Add outgoing RSS feeds to OpenAtrium using the tokenauth module.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on Google Cloud Platform samples, indicating a strong alignment with GCP technologies. However, the projects are all marked as 'personal' and lack diversity in application domains beyond cloud infrastructure samples. While the candidate has a current role as 'Data Scientist' at 'GoogleCloudPlatform', the projects themselves do not explicitly demonstrate data science methodologies, tools, or problem-solving, which could be a gap for a Data Scientist role. The breadth of skills is good in terms of programming languages and cloud tools, but the depth in specific data science areas is not evident from the project descriptions.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily demonstrated through personal code samples for Google Cloud Platform, which does not provide insight into collaboration, problem-solving approaches, or communication styles in a team setting.