Vicente Ardiles S.

Data Scientist

https://talent.gravityer.com/vicente-ardiles-s

Member since June 29, 2026

Key Strengths

Exposure to Python and Jupyter Notebook, relevant for Data Science.
Experience with C++ indicates foundational programming skills.
Projects like 'NLP_Fall2021' show direct relevance to Data Science sub-fields.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic, demonstrating initiative and a learning mindset. However, the diversity of technologies (Assembly, Rust, Astro) suggests a broad interest rather than a focused alignment with a specific industry or team culture. The lack of professional experience makes it difficult to assess cultural fit in a corporate environment.

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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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

Clases-Auxiliares-CC1002

July 15, 2025 – September 16, 2025

Recopilación de preguntas de auxiliar CC1002

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SplayTrees_ABB

October 28, 2024 – November 11, 2024

SplayTrees_ABB — GitHub repository

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logt1

September 24, 2024 – October 7, 2024

Repo tarea 1 logaritmos

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G-Falls

August 20, 2024 – November 19, 2024

Puzzle con tematica Gravity Falls realizado para CC1002, como incentivo para una tarea del curso.

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Tarea1-MTree

April 23, 2024 – May 13, 2024

Tarea1-MTree — GitHub repository

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iot_g4

September 25, 2022 – December 6, 2022

iot_g4 — GitHub repository

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Watos-RDF-LoL-Project

November 18, 2021 – December 4, 2021

Watos-RDF-LoL-Project — GitHub repository

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NLP_Fall2021

November 10, 2021 – November 11, 2021

Work done for the NLP course of fall 2021 semester.

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dns-rust

September 1, 2021 – Present

DNS protocol implementation in Rust

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Databases-2020

September 25, 2020 – September 25, 2020

Project made for the databases course of autumn semester, 2020. Includes really basic html/css, a simple django framework implementation and its respective back-end configuration built using PostgreSQL.

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Key Strengths

Exposure to Python and Jupyter Notebook, relevant for Data Science.
Experience with C++ indicates foundational programming skills.
Projects like 'NLP_Fall2021' show direct relevance to Data Science sub-fields.

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.

Vicente Ardiles S.

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit