Flavio Cesar Valerio Roncagliolo

Data Scientist

https://talent.gravityer.com/flavio-cesar-valerio-roncagliolo

Data Analyst / Scientist

Madrid

Key Strengths

Demonstrated interest in Data Science and MLOps through personal projects.
Experience with Python for data science and machine learning tasks.
Familiarity with Docker for containerization, indicating MLOps awareness.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects show a focus on AI/ML and MLOps, which aligns with a Data Scientist role. The diversity of project topics (insurance, car damage, flight delays, sports analytics) indicates a broad interest in applying data science. However, the lack of professional experience or team-based projects makes it difficult to fully assess cultural fit.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

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

sports-data-analytics-demo

February 25, 2026 – Present

sports-data-analytics-demo — GitHub repository

View Project

Deep-Learning---AI-Car-Damage-Assessment

February 23, 2026 – Present

Deep-Learning---AI-Car-Damage-Assessment — GitHub repository

View Project

Insurance-AI-Agent

February 17, 2026 – Present

Insurance-AI-Agent — GitHub repository

View Project

Roche_Capstone_Project

January 11, 2026 – Present

Roche_Capstone_Project — GitHub repository

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MLOps_Project_AWS

November 30, 2025 – December 2, 2025

Repository for MLOPs using AWS - CI/CD Deployment

View Project

FlightDelaysModel

November 16, 2025 – Present

FlightDelaysModel — GitHub repository

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AIAgent_with_RAG

November 15, 2025 – November 15, 2025

Local AI Agent using Ollama

View Project

MLOps_Project

October 23, 2025 – November 20, 2025

Repository for MLOPs Assignment - CI/CD Deployment

View Project

Key Strengths

Demonstrated interest in Data Science and MLOps through personal projects.
Experience with Python for data science and machine learning tasks.
Familiarity with Docker for containerization, indicating MLOps awareness.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.

Flavio Cesar Valerio Roncagliolo

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit