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simoun-asmar/README.md

Hi there, I'm Simoun Asmar 👋

Welcome to my GitHub profile! I'm a passionate Data Analyst in the making, constantly exploring new datasets and expanding my skills. Here’s a little more about me:

📊 Currently learning: Advanced SQL, Tableau, Python for data analysis, and Google Sheets
🎯 Goals: Build insightful dashboards, master data cleaning techniques, and optimize SQL queries
🎲 Fun fact: I can analyze data faster than I can solve a Rubik's cube! 🧩

🔍 What I'm working on:

  • 📈 Building interactive dashboards in Tableau to uncover insights
  • 🛠 Documenting SQL queries to showcase my data analysis skills
  • 🚀 Practicing Python for automation and advanced data manipulation

🌱 What I'm currently learning:

  • SQL: Advanced query optimization and database management
  • Tableau: Creating effective data visualizations and dashboards
  • Google Sheets: Leveraging advanced functions for better data analysis
  • Python: Developing scripts for data automation and processing

💻 Tools:

Python SQL Tableau Google Sheets GitHub

🌟 Want to see the story behind the data?

Data is more than just numbers—it's about telling a story. And what better way to tell that story than through interactive dashboards?

👁️ Check out my Tableau Public profile to explore how I turn raw data into meaningful insights with visualizations!

Tableau

📫 How to reach me:

LinkedIn

🌐 Visit My Portfolio Website:

Portfolio

🌟 Fun fact:

  • 🌎 I'm based in Düsseldorf, Germany, and love analyzing global datasets!
  • 🐕 When I'm not crunching numbers, I enjoy spending time with my Havanese dog.

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  1. Marketflash-Project Marketflash-Project Public

    Database and dashboard for MarketFlash campaign analysis.

  2. unicorn-project unicorn-project Public

    SQL Queries, Spreadsheet Analysis, and Tableau Dashboard for the Unicorn Project

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  3. travel-tide-queries travel-tide-queries Public

    SQL queries and PostgreSQL connection for TravelTide practice dataset

  4. nike-data-analysis nike-data-analysis Public

    SQL queries for analyzing the Nike Data database