Gilbert Algordo

Data Scientist

https://talent.gravityer.com/gilbert-algordo

https://g.dev/gilbert_algordo

Alphabet Class A $GOOG

Key Strengths

Candidate has listed 'Data Scientist' as a current role at 'Alphabet Class A $GOOG', indicating direct experience in the target role.
Demonstrated exposure to Python and Jupyter Notebook through personal projects, which are core tools for Data Scientists.
Experience with multiple programming languages (Python, C++, Java, JavaScript, TypeScript, Ruby) suggests adaptability and a broad technical foundation.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are all personal and diverse in technology, which could indicate a self-starter and curious individual. However, the descriptions are very brief, making it difficult to assess depth of involvement or collaborative experience. The listed current role as 'Data Scientist' at a major tech company aligns well with the target role, but without further details on responsibilities or team context, cultural fit remains largely unassessed.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

google-home-ai

June 19, 2026 – Present

new google home ai

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developer

June 16, 2026 – Present

development

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skycast-ai

June 14, 2026 – Present

weather agent

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alphazero-plugin-

April 10, 2024 – March 3, 2025

A MakeCode project

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reimagined-happiness

September 18, 2023 – March 14, 2025

reimagined-happiness — GitHub repository

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make

August 9, 2023 – March 3, 2025

extension to make project

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glorious-happiness

July 20, 2023 – March 6, 2025

glorious-happiness — GitHub repository

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dev

November 11, 2021 – Present

Developer https://g.dev/gilbert_algordo

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Key Strengths

Candidate has listed 'Data Scientist' as a current role at 'Alphabet Class A $GOOG', indicating direct experience in the target role.
Demonstrated exposure to Python and Jupyter Notebook through personal projects, which are core tools for Data Scientists.
Experience with multiple programming languages (Python, C++, Java, JavaScript, TypeScript, Ruby) suggests adaptability and a broad technical foundation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Gilbert Algordo

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit