Jesús Oviedo Riquelme

Data Scientist

https://www.opentalent.in/jesus-oviedo-riquelme

ParaguayMember since June 21, 2026

Key Strengths

Exposure to various data science and machine learning related projects (LLM, ML Zoomcamp, FastAPI ML Deploy).
Demonstrated interest in Python for data-related tasks.
Experience with Docker for containerization, which is valuable for deployment.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate shows a strong interest in continuous learning and open-source contributions through participation in various 'zoomcamp' projects and personal repositories. The diversity of projects, including those related to LLMs, ML deployment, and data warehousing, suggests an adaptable and curious individual. However, the lack of professional experience makes it difficult to fully assess cultural fit in a corporate environment.

Soft Skills & Operational Fit

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

AI is analyzing your overall score…

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

svd-image-analysis

May 9, 2026 – Present

svd-image-analysis — repository

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ai-dev-tools-zoomcamp

November 23, 2025 – December 11, 2025

ai-dev-tools-zoomcamp — repository

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ml-zoomcamp-knowledge-base

September 27, 2025 – October 13, 2025

ml-zoomcamp-knowledge-base — repository

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lus-laboris-py

September 7, 2025 – October 20, 2025

lus-laboris-py — repository

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fastapi-ml-deploy

August 16, 2025 – August 21, 2025

fastapi-ml-deploy — repository

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llm-zoomcamp-knowledge-base

May 30, 2025 – August 15, 2025

llm-zoomcamp-knowledge-base — repository

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github-microsoft-codigo-facilito

April 5, 2025 – Present

Repositorio creado para realizar práctica con compañeros del Bootcamp GitHub con Microsoft y Código Facilito - 2025

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spotify-dwh-insights

March 22, 2025 – April 27, 2025

spotify-dwh-insights — repository

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UAA_GPI_PROYECTO

January 6, 2016 – January 10, 2016

Proyecto: Crear una aplicación que permita manejar las Bibliográficas de todas las Materias que tiene las Carreras de la UAA

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java-validarCorreo

July 21, 2015 – July 21, 2015

java-validarCorreo — repository

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Key Strengths

Exposure to various data science and machine learning related projects (LLM, ML Zoomcamp, FastAPI ML Deploy).
Demonstrated interest in Python for data-related tasks.
Experience with Docker for containerization, which is valuable for deployment.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

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

Jesús Oviedo Riquelme

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit