I am a Data Analyst with a strong background in software engineering (PHP, SQL, OOP). My career in tech has equipped me with transferable skills that are highly valuable in the data world:
- 💡 Logical and structured thinking → ideal for writing queries, automating processes, and modeling data.
- 📁 Technical tool handling → quick adaptation to SQL, Python, Power BI, and advanced Excel.
- 🧩 Complex problem-solving → perfect for identifying patterns and insights from data.
- 📅 Project and process management → useful for leading analysis and reporting initiatives.
- 📈 Metrics and KPIs → strong base for evaluating dashboards and business performance.
- 📊 Analytical capacity → essential for data-driven decision-making and predictive modeling.
- 👥 Team collaboration → effective communication between data, business, and technology.
I leverage these skills to deliver clear, impactful insights that connect technical analysis with business problem-solving.
Here you will find a collection of my data analysis projects, each documented with code, dashboards, and narrative playbooks:
-
Personal Finance vs Inflation (2024–2025)
Excel dashboards, Python scripts, and narrative playbook comparing personal expenses with official CPI data.
View Repository -
Movie Investment Data Pipeline
End-to-end ETL process using Python (Pandas). Resolved critical column-shifting issues caused by non-standard delimiters, implemented SQL-ready schema normalization (snake_case), and performed comprehensive data type casting for financial metrics. View Repository -
More projects coming soon...
You can download my resume here.
- Email: romicuadra@gmail.com
- LinkedIn: linkedin.com/in/romina-cuadra
- GitHub: github.com/rominacuadra