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Ninashaz/README.md

Welcome to My GitHub Profile!

My photo

👋 Hi, I'm Nina Shabanzadeh

💡 Data Analyst & Data Engineer
📍 Netherlands | ✉️ nina.shaz1996@gmail.com

Master’s in Data-Driven Design with 2+ years of experience in data analysis, SQL, Python, and dashboard development.
Skilled in building data pipelines, optimizing workflows, and delivering actionable business insights.
Experienced in regression, clustering, and machine learning for trend analysis and decision support.

🔍 What I Do

  • Query and analyze data using SQL across Google BigQuery, PostgreSQL, and MySQL
  • Build interactive dashboards in Tableau and Looker Studio
  • Perform advanced data analysis and reporting in Excel and Google Sheets
  • Design user-friendly data visualizations and reports
  • Apply ML models (KNN, NLP, Decision Trees, Random Forest) to real-world datasets

📚 Selected Projects

Fraud Detection with Streamlit Project

Excel powerquery transformation

🛠️ Tools & Technologies

Languages: SQL, Python
Databases: Google BigQuery, PostgreSQL, MySQL
Visualization: Tableau, Looker Studio, Matplotlib, Seaborn
Other: Spark, Figma, Excel

Popular repositories Loading

  1. Prediction Prediction Public

    Jupyter Notebook

  2. Fraud-Detection-with-Streamlit Fraud-Detection-with-Streamlit Public

    Interactive Fraud Detection Dashboard using Streamlit

    Python

  3. Ninashaz Ninashaz Public

    Hi

  4. excel-powerquery-transformation excel-powerquery-transformation Public

    This project demonstrates how to use Power Query and Excel formulas to clean and transform data.

  5. Power-Query-Data-Transformation Power-Query-Data-Transformation Public

    Excel Power Query project demonstrating data cleaning, transformation, and preparation for analysis

  6. World-Happiness-Report-Analysis World-Happiness-Report-Analysis Public

    World Happiness Report analysis (2015–2019) using Excel to clean, consolidate, and visualize data.