Matheus Gonzalez

Data Scientist

https://talent.gravityer.com/matheus-gonzalez

Machine Learning Engineer focusing on MLOps, LLMOps and NLP

São Paulo - SP

Key Strengths

Demonstrated interest in Machine Learning Operations (MLOps) through 'practical_mlops' project.
Experience with Python and Jupyter Notebook for data analysis and machine learning tasks.
Exposure to infrastructure as code with Terraform and HCL.
Personal projects indicate a proactive learning approach in data science and AI.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's personal projects show a strong inclination towards data science, machine learning, and AI, which aligns well with a Data Scientist role. The diversity of projects, from MLOps to personal finance analysis and agent development, suggests a broad interest and self-driven learning, indicating a good cultural fit for an innovative and learning-oriented environment.

Soft Skills & Operational Fit

Insufficient data to assess soft skills and 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

pyquizmaster-agent

April 15, 2026 – Present

Agent to generate Python quizzes

View Project

release_notes_generation_assistant

March 26, 2026 – Present

release_notes_generation_assistant — GitHub repository

View Project

mle_recap

March 18, 2026 – Present

mle_recap — GitHub repository

View Project

ai-engineer-agentic-track-course

January 16, 2026 – Present

ai-engineer-agentic-track-course — GitHub repository

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terraform_projects

July 19, 2025 – July 22, 2025

terraform_projects — GitHub repository

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mcp_poc

April 24, 2025 – April 24, 2025

mcp_poc — GitHub repository

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personal_finance_analysis

August 22, 2024 – Present

personal_finance_analysis — GitHub repository

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credit_scoring_with_ml

August 12, 2024 – August 22, 2024

credit_scoring_with_ml — GitHub repository

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machines-against-misogyny

June 29, 2024 – June 29, 2024

machines-against-misogyny — GitHub repository

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practical_mlops

May 7, 2024 – May 13, 2024

[📚💻] Notes, code examples and exercises based on the book Practical MLOps - Operationalizing Machine Learning Models by Noah Gift & Alfredo Deza

View Project

Key Strengths

Demonstrated interest in Machine Learning Operations (MLOps) through 'practical_mlops' project.
Experience with Python and Jupyter Notebook for data analysis and machine learning tasks.
Exposure to infrastructure as code with Terraform and HCL.
Personal projects indicate a proactive learning approach in data science and AI.

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.

Matheus Gonzalez

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit