Carmelo Mayen

Data Scientist

https://talent.gravityer.com/carmelo-mayen

Member since June 26, 2026

Key Strengths

Demonstrated interest in data science and machine learning through projects like 'reciclaje-ia-grupo4' (Classification of waste with Artificial Vision using MobileNetV2).
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and demonstrate a focus on web development (TypeScript, JavaScript, HTML, CSS) with some exposure to Python and AI/ML. While there's a project directly related to AI/ML, the overall project portfolio leans heavily towards front-end development, which may not align perfectly with a dedicated Data Scientist role without further specialization. The diversity of projects indicates a willingness to explore different areas.

Soft Skills & Operational Fit

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

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Assessing your cultural and operational fit

Projects

ExamenFinalMN

June 18, 2026 – Present

proyecto para el examen final de la clase Metodos Numericos

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Metodos-numericos-

June 17, 2026 – Present

Metodos-numericos- — GitHub repository

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mundial_app

June 14, 2026 – Present

mundial_app — GitHub repository

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Mundial_2026

June 10, 2026 – Present

DEVELOP RENDER

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reciclaje-ia-grupo4

April 17, 2026 – Present

Proyecto 01 - Clasificación de desechos con Visión Artificial usando MobileNetV2

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Proyecto_final

April 16, 2026 – Present

Repositorio principal del proyecto ( frontend y backend" )

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Gestion_de_Recursos_Humanos_y_Nomina

April 15, 2026 – Present

Gestion_de_Recursos_Humanos_y_Nomina — GitHub repository

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gestion_tareas

February 24, 2026 – Present

mini proyecto de Analisis de sistemas I sistema de gestion de tareas personales

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Aplicacion-de-Gestion-de-Tareas-Personales

February 24, 2026 – Present

Software desarrollado con lineamientos SCRUM

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Portafolio-mavl

June 26, 2025 – Present

Portafolio-mavl — GitHub repository

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Key Strengths

Demonstrated interest in data science and machine learning through projects like 'reciclaje-ia-grupo4' (Classification of waste with Artificial Vision using MobileNetV2).
Experience with Python, a core language for Data Science.
Exposure to Jupyter Notebooks, a common tool in data science workflows.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Carmelo Mayen

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit