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🗃️ SQL Projects Portfolio

Welcome to my SQL Projects Portfolio, a collection of real-world data analysis projects powered by SQL and exploratory data tools. These projects demonstrate my ability to translate business questions into data-driven insights using relational databases, advanced querying, and visualization.


🧰 Tools & Technologies Used

  • SQL Engines: PostgreSQL, SQLite
  • Languages: SQL, Python (for visualization and notebooks)
  • Libraries: pandas, matplotlib, seaborn
  • Concepts: Joins, Aggregations, CTEs, Window Functions, Subqueries, Database Design, ERD
  • Other: Jupyter Notebooks, Data Cleaning, Statistical Analysis, Problem Solving

📁 Project Summaries

Each folder contains a self-contained project with relevant scripts, data, and notebooks.

1. 🌎 Analyze International Debt Statistics

Explore which countries owe the most debt and to whom using debt statistics from the World Bank.

Skills: SQL joins, aggregation, filtering, global data analysis.

2. 👶 Analyzing American Baby Name Trends

Use SQL to explore baby name popularity over the decades in the U.S.

Skills: CTEs, window functions, time-based analysis, trend detection.

3. ⚡ Analyzing Electric Vehicle Charging Habits

Study EV charging patterns to uncover usage trends and station performance.

Skills: Grouping, average duration analysis, behavior patterns.

4. 🌫️ Analyzing Industry Carbon Emissions

Investigate which sectors contribute most to pollution and how emission levels change.

Skills: Grouping by sector, subqueries, cumulative comparisons.

5. 🏍️ Analyzing Motorcycle Part Sales

Analyze a dataset of motorcycle parts to determine top products, revenue drivers, and trends.

Skills: Transactional analysis, revenue computation, rank functions.

6. 🧠 Analyzing Students' Mental Health

Examine survey data to understand mental health challenges faced by students.

Skills: Conditional logic, percentage breakdowns, demographic filters.

7. 🚇 Exploring London’s Travel Network

Explore TfL (Transport for London) subway data to uncover peak travel times and busiest lines.

Skills: Multi-table joins, ridership analysis, daily trends.

8. 🌱 Impact Analysis of GoodThought NGO Initiatives

Assess the effectiveness of an NGO’s social campaigns using project and impact data.

Skills: ERD interpretation, relational schema analysis, data summarization.


📈 Key Strengths Demonstrated

  • Comfort with relational database structure and logic
  • Advanced SQL for business analysis and insight generation
  • Real-world datasets and practical case studies
  • Communication of complex data insights through visual and narrative storytelling

📬 Let’s Connect!

If you’re hiring or collaborating on data-centric projects, I’d love to chat. Feel free to reach out!

📧 joaquinrojash@hotmail.com
🌐 LinkedIn
🐙 GitHub Profile