Andres Muñoz

Data Scientist

https://talent.gravityer.com/andres-munoz

Member since June 22, 2026

Key Strengths

Demonstrated experience with Python and Scala, key languages for Data Science.
Multiple personal projects involving machine learning concepts (e.g., 'fiware-ml-supermarket', 'fiware-ml-flights').
Exposure to Big Data technologies through project descriptions (e.g., 'P5_FLINK', 'PFINAL-FBID2022').
Familiarity with Jupyter Notebook, a common tool in data science workflows.
Experience with Dockerfile indicates understanding of containerization, beneficial for reproducible data science environments.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a strong inclination towards personal exploration and learning, particularly in data-related fields. The diversity of projects, including those with 'FIWARE' integration, suggests an interest in applying data science to real-world scenarios. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit in a collaborative 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

P5_FLINK

March 10, 2026 – Present

P5_FLINK — GitHub repository

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Eunomia

November 24, 2024 – November 24, 2024

Eunomia Tools and applications

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ODM_PYTHON_SPARQL_GISD

November 20, 2024 – November 29, 2024

ODM_PYTHON_SPARQL_GISD — GitHub repository

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CityApi

March 18, 2024 – July 1, 2024

CityApi — GitHub repository

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fiware-ml-viena

September 21, 2023 – September 21, 2023

fiware-ml-viena — GitHub repository

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PFINAL-FBID2022

November 10, 2022 – November 28, 2022

Práctica de la asignatura Fundamentos de Big Data del Máster Universitario en Ingeniería de Redes y Servicios Telemáticos de la UPM 2023.

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edvl

December 6, 2020 – September 15, 2022

Educational Data Virtual Lab

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fiware-ml-flights

October 25, 2020 – October 28, 2020

fiware-ml-flights — GitHub repository

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fiware-ml-supermarket

September 30, 2019 – December 11, 2022

Demo: Predicting purchase volume in a supermarket using FIWARE

View Project

odrl

February 18, 2018 – Present

ODRL Community Group Repository

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Key Strengths

Demonstrated experience with Python and Scala, key languages for Data Science.
Multiple personal projects involving machine learning concepts (e.g., 'fiware-ml-supermarket', 'fiware-ml-flights').
Exposure to Big Data technologies through project descriptions (e.g., 'P5_FLINK', 'PFINAL-FBID2022').
Familiarity with Jupyter Notebook, a common tool in data science workflows.
Experience with Dockerfile indicates understanding of containerization, beneficial for reproducible data science environments.

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.

Andres Muñoz

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit