I'm a business-oriented data professional with experience in customer success, project management, and performance analysis, currently specializing in Data Analytics and Business Intelligence through FIAP's Data Analytics postgraduate program.
I combine business understanding with hands-on experience in data analysis, visualization, and cloud-based data processing to transform raw data into actionable insights that support better decisions.
📍 Belo Horizonte, Brazil | Open to remote and international opportunities
Data Analysis & Programming
- Python, Pandas, NumPy
- SQL, Spark SQL
- Exploratory Data Analysis (EDA)
- Data cleaning, validation, and transformation
Business Intelligence & Visualization
- Power BI, DAX
- Excel
- Matplotlib
- KPI development, dashboard design, and analytical reporting
Big Data & Cloud
- Amazon S3
- AWS Glue
- Amazon Athena
- PySpark
- Data Lake architecture (Bronze, Silver, and Gold layers)
Machine Learning
- Scikit-learn
- Classification models
- Feature engineering and model evaluation
Tools & Foundations
- Jupyter Notebook
- Git and GitHub
- HTML5 and CSS3 fundamentals
FIAP Tech Challenge | Big Data Analytics
An end-to-end data project exploring Brazil's data and AI job market using industry survey data.
- Built a cloud-based Data Lake with Bronze, Silver, and Gold layers.
- Worked with Amazon S3, AWS Glue, PySpark, Spark SQL, and Amazon Athena.
- Applied data transformation and exploratory analysis to support business-oriented insights.
FIAP Tech Challenge | Business Intelligence
An analytical project focused on e-commerce performance, sales, and customer behavior.
- Analyzed sales, freight, delivery performance, and repeat purchases.
- Developed KPIs to evaluate revenue, customer retention, and regional performance.
- Used Python and Power BI to support data-driven business recommendations.
Machine Learning | Python | Scikit-learn
A machine learning project focused on predicting wine quality using classification techniques.
- Performed exploratory data analysis and feature engineering.
- Compared classification approaches and evaluated model performance.
- Achieved 85.42% accuracy with Random Forest in the project evaluation.
- Translating business questions into analytical problems
- Data cleaning, exploration, and quality validation
- KPI definition and performance monitoring
- Dashboard development and data storytelling
- Customer behavior and business performance analysis
- Structured problem-solving and cross-functional collaboration
- Advancing my skills in Data Analytics and Business Intelligence
- Building end-to-end analytics and Big Data projects
- Strengthening SQL, Python, Power BI, and cloud data processing
- Connecting data pipelines, analytical insights, and business decisions
🎓 Postgraduate Program in Data Analytics — FIAP
I'm interested in opportunities where data, technology, and business strategy come together to solve real-world problems.
- 💻 GitHub Repositories