Isaac Caballero

Data Scientist

https://talent.gravityer.com/isaac-caballero

BSc. Physics. MSc. Artificial Intelligence. PhD. Candidate Artificial Intelligence. Data Scientist.

Universidad Veracruzana

Key Strengths

Demonstrated interest in Data Science and Quantum Computing through personal projects.
Experience with Python and Jupyter Notebook for data analysis and scientific simulations.
Active engagement in academic-related projects, suggesting a foundational understanding of scientific computing.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards academic and research-oriented topics, particularly in physics, quantum computing, and data analysis. This aligns with roles that value continuous learning and problem-solving in complex domains. However, the project descriptions are brief, making it difficult to fully assess the depth of collaboration or independent initiative. The single listed experience as 'Data Scientist' at 'Universidad Veracruzana' is current but lacks details, limiting the assessment of real-world application and team dynamics.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

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Projects

ffia

November 8, 2025 – November 8, 2025

ffia — GitHub repository

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TalleresComputacionCuantica-UV

September 30, 2025 – September 30, 2025

This repositorie contains all the information and implementation related to the Quantum Computing Workshop for EXF 2025 hosted by Universidad Veracruzana.

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RTP-an-lisisdedatos

September 5, 2025 – September 5, 2025

RTP-an-lisisdedatos — GitHub repository

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FFIA-FenomenologiaCuanticayRelativista

August 15, 2025 – August 24, 2025

This is a repo that contains course notes, tests, homeworks and simulation for the introductory modern physics course to undergraduate students.

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eisaacjc

August 14, 2025 – August 16, 2025

eisaacjc — GitHub repository

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Advanced-Deep-Learning

April 11, 2024 – April 15, 2024

A repository for the academic material for the courses of Deep Learning I & II, Computer Vision I & II, MLOps.

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DeepGA-Analisis-Exploratorio

June 25, 2022 – June 30, 2022

Comparaciones de DeepGA con el estado del arte.

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ComputerVision

March 3, 2022 – September 23, 2024

ComputerVision — GitHub repository

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eisaacjc.github.io

December 22, 2019 – January 13, 2025

Portafolio/Curriculum

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Simulacion_tres_cuerpos

June 7, 2017 – November 7, 2020

Una simulación de 3 cuerpos que son atraídos gravitacionalmente según las leyes de Newton que ocupa métodos iterativos y geometría analítica básica.

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Key Strengths

Demonstrated interest in Data Science and Quantum Computing through personal projects.
Experience with Python and Jupyter Notebook for data analysis and scientific simulations.
Active engagement in academic-related projects, suggesting a foundational understanding of scientific computing.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights.

Isaac Caballero

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit