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5100-chap | Gravity Talent Portal

5100-chap

5100-chap

Data Scientist

https://talent.gravityer.com/5100-chap

Egresado de la carrera de Ingenieria en Tecnologias Computacionales, Estudiante en la Maestria de Inteligencia Artificial Aplicada

Mexico

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Member since June 27, 2026

https://talent.gravityer.com/5100-chap

Top Skills

PythonJupyter NotebookJavaScriptSCSSHTMLC++ShaderLabHLSLGAPCSSDockerfile

Skills

PythonJupyter NotebookJavaScriptSCSSHTMLC++ShaderLabHLSLGAPCSSDockerfile

Projects

Administraci-n-del-desarrollo-del-software

June 13, 2026 – Present

ITESM TC4018.10 2026

Actividad2.5M

May 10, 2024 – May 20, 2024

Actividad2.5M — GitHub repository

PymesHelper

April 9, 2024 – June 1, 2024

Proyecto para la materia de TC3002B.507

URsus-Proyect

April 6, 2024 – May 24, 2024

TC3002B.507

TC3007C_Evidencia_2

November 25, 2023 – November 25, 2023

TC3007C_Evidencia_2 — GitHub repository

TC3007C_Evidencia_1

November 25, 2023 – November 25, 2023

TC3007C_Evidencia_1 — GitHub repository

TC3007C_Portafolio

November 24, 2023 – November 25, 2023

TC3007C_Portafolio — GitHub repository

HackMTY2023-11F

September 23, 2023 – September 24, 2023

Repositorio del equipo 11-F para HackMTY 2023

TC3007C.501_EQ6

September 19, 2023 – November 28, 2023

Repositorio del equipo 6 para la materia de Inteligencia artificial avanzada para la ciencia de datos II (Gpo 501)

Multiagentes

August 10, 2022 – September 12, 2022

Repositorio para la clase de Multiagentes

Key Strengths

Demonstrated interest in Data Science and AI through academic projects.
Proficiency in Python, a core language for Data Science.
Experience with Jupyter Notebooks for data analysis and model development.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily academic and personal, indicating a foundational understanding of various technologies relevant to data science. The diversity of projects, while academic, shows an exploratory mindset. However, the lack of professional experience or detailed project descriptions makes it difficult to fully assess cultural fit beyond a basic alignment with technical curiosity.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, indicating no completed test.