Data Analyst | SQL | PostgreSQL | Python | Power BI | Customer Analytics | Analytics Engineering
I'm a Data Analyst and PhD researcher with over 15 years of experience transforming complex real-world datasets into actionable insights through SQL, Python, Power BI, statistics, and analytical modeling.
My scientific background has strengthened my analytical thinking, hypothesis-driven problem solving, and ability to design reproducible analytical workflows.
Today, I apply these skills to solve business problems in Business Intelligence, Analytics Engineering, and Customer Analytics.
Applying scientific rigor and analytical thinking to solve business problems through modern data analytics.
- SQL
- PostgreSQL
- Power BI
- DAX
- Power Query (M)
- Analytics Engineering
- Customer Analytics
- Customer Segmentation
- Customer Lifetime Value (CLV)
- Star Schema
- Data Modeling
- Python
- Pandas
- Matplotlib
- R
- Statistics
- Machine Learning
- Git
- GitHub
- DBeaver
- Excel
End-to-end Analytics Engineering and Business Intelligence project built with PostgreSQL, SQL, and Power BI, featuring a Star Schema data model, SQL semantic layer, business KPIs, and interactive executive dashboards.
🔗 Repository
https://github.com/felipeandrade91/Customer-Analytics-for-Brazilian-E-commerce
Customer Analytics project built with PostgreSQL, SQL, and Python, extending the previous analytical foundation through customer feature engineering, RFM segmentation, Historical Customer Lifetime Value (CLV) analysis, and business-oriented data visualization.
🔗 Repository
https://github.com/felipeandrade91/customer-segmentation-clv
A curated collection of my Business Intelligence, Analytics Engineering, Customer Analytics, SQL, Python, Power BI, Statistical Analysis, and Machine Learning projects.
🔗 Repository
https://github.com/felipeandrade91/Data-Analytics-Portfolio
- PhD in Animal Biology (UNICAMP)
- Postdoctoral Researcher (USP)
- 28 peer-reviewed scientific publications
- Description of 13 new amphibian species
- 15+ years working with complex real-world datasets