Pedro Luis Costa Mucci

Universidade Federal de Minas Gerais

Belo Horizonte, Minas Gerais, Brazil

Since April 22, 2026

Skills

Data science & AnalyticsBig DataData AnalyticsSQLPostgresqlPyTorchPythonPython/RPysparkPandas, NumPyExcelPower BI

Education

Universidade Federal de Minas Gerais

Tech · Computer Science

June 1, 2019 – June 1, 2025

Key Strengths

Demonstrated proficiency in Python (Pandas, NumPy, Scikit-learn, SQLAlchemy), SQL, and various databases (PostgreSQL, MySQL, MongoDB), which are core to a Data Analyst role.
Experience with ETL/ELT processes, Docker, AWS Cloud, and REST APIs indicates foundational data engineering capabilities.
Proficiency in data visualization tools like Power BI, Tableau, and Advanced Excel, along with experience in creating interactive dashboards, directly aligns with data analysis and reporting requirements.
Practical experience in large-scale data processing, including pipeline development for 1.6 million records, data cleaning, deduplication, and complex data modeling (recursive trees) during a Research Assistant role.
The candidate's academic background in Computer Science and Information Systems provides a strong theoretical foundation.

Cultural & Operational Fit

Cultural Fit Analysis

The psychometric test score of 0 (translated to 1 for scoring constraint) indicates a significant concern regarding logical reasoning, work attitude, stress handling, and team collaboration. This requires further investigation. Despite the test score, the candidate's resume shows involvement in several group and leadership roles (Treasurer of Theater group, General Coordinator, Member of communications sector, YEX training), which typically suggest a capacity for teamwork and collaboration. There is a clear discrepancy between the psychometric test result and the resume's narrative.

Soft Skills & Operational Fit

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Evaluating your skill match against the job requirements…

Assessing your cultural and operational fit

Key Strengths

Demonstrated proficiency in Python (Pandas, NumPy, Scikit-learn, SQLAlchemy), SQL, and various databases (PostgreSQL, MySQL, MongoDB), which are core to a Data Analyst role.
Experience with ETL/ELT processes, Docker, AWS Cloud, and REST APIs indicates foundational data engineering capabilities.
Proficiency in data visualization tools like Power BI, Tableau, and Advanced Excel, along with experience in creating interactive dashboards, directly aligns with data analysis and reporting requirements.
Practical experience in large-scale data processing, including pipeline development for 1.6 million records, data cleaning, deduplication, and complex data modeling (recursive trees) during a Research Assistant role.
The candidate's academic background in Computer Science and Information Systems provides a strong theoretical foundation.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit