Antonio Soto

Data Scientist

https://talent.gravityer.com/antonio-soto

Cloud, Data & AI Director

ALTIA CONSULTORES

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'cursoml', 'PyConES2020', and 'InterpretandoML'.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with RAG (Retrieval Augmented Generation) concepts, indicating familiarity with modern AI/ML applications.
Exposure to TSQL and Kusto queries, suggesting some database and data querying capabilities.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show initiative and a passion for learning and sharing knowledge (e.g., seminar content, course materials). The diversity of projects, including RAG and ML interpretability, suggests an adaptable and curious mindset. However, the lack of team-based projects or contributions makes it difficult to fully assess collaborative cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

AI is analyzing your overall score…

Identifying your key strengths…

Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Projects

frasohome-fabric-rag

June 17, 2026 – Present

Código de la sesión de Charlemos de SQL sobre RAG en Fabric databases

View Project

frasohome-agents-foundry

May 17, 2026 – Present

Repositorio para las demostraciones del caso de Agentes de Microsoft Foundry

View Project

rag-copilot-studio

February 26, 2026 – Present

Contenido para seminario de RAG utilizando Copilot Studio

View Project

pbidays

June 15, 2024 – June 15, 2024

pbidays — repository

View Project

IntroBigData

September 26, 2022 – March 1, 2024

IntroBigData — repository

View Project

Intro-Python

May 5, 2022 – January 11, 2025

Materiales para Introducción a Python

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KQL-4-Ninja

May 24, 2021 – April 18, 2021

Kusto queries for Azure Sentinel and Azure Log Analytics

View Project

PyConES2020

September 19, 2020 – September 19, 2020

Sesión de Intepretabilidad de Modelos de Machine Learning con Python para la PyConES2020

View Project

cursoml

November 15, 2019 – December 4, 2021

cursoml — repository

View Project

InterpretandoML

May 31, 2019 – May 11, 2022

Interpretando modelos de ML

View Project

Key Strengths

Demonstrated interest in Data Science and Machine Learning through personal projects like 'cursoml', 'PyConES2020', and 'InterpretandoML'.
Proficiency in Python and Jupyter Notebook, essential tools for Data Scientists.
Experience with RAG (Retrieval Augmented Generation) concepts, indicating familiarity with modern AI/ML applications.
Exposure to TSQL and Kusto queries, suggesting some database and data querying capabilities.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.

Antonio Soto

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Experience

Projects

Key Strengths

Cultural & Operational Fit