Data-oriented professional with hands-on experience in data analysis, data preparation, and reporting, using Python and Excel to clean, structure, and analyze datasets.
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Data Analysis & Preparation
Working with structured and semi-structured data to ensure accuracy, consistency, and usability. -
Python for Data
Using Python and Pandas for data cleaning, transformation, and exploratory analysis. -
Reporting & Insights
Organizing data into clear CSV and Excel reports to support analysis and decision-making. -
Continuous Learning
Currently deepening knowledge in Data Analytics and Machine Learning through practical, project-based training and learning Java and Kotlin for Android development.
- Python
- Pandas
- NumPy
- Excel
- Git / GitHub
- (Learning) Scikit-learn
Some projects were developed with the support of modern tools and AI-assisted workflows, always with a focus on understanding, validating, and applying the results correctly.
- Data analysis and data preparation projects
- Examples of cleaned and structured datasets
- Python scripts focused on data manipulation and reporting
- Well-documented projects with clear objectives and outcomes
- LinkedIn: https://www.linkedin.com/in/gabriel-bonamichi-aab43b2a8
- Email: bonamichigabrielfelipe@gmail.com
Interested in data-driven environments, clear communication of insights, and continuous improvement through data.