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Satyam18g/README.md

💫 About Me:

🔭 I’m currently working on: Enhancing my skills in data analysis

👯 I’m looking to collaborate on: Entry-level data analysis projects, creating dashboards in Power BI, and optimizing SQL queries.

🤝 I’m looking for help with: Improving my data visualization techniques and gaining experience in real-world data projects.

🌱 I’m currently learning: Data analysis using Python, SQL for database management, and Power BI for business intelligence.

💬 Ask me about: My recent projects in analysis, dashboard creation, and data cleaning techniques.

⚡ Fun fact: I love finding patterns in data, and I’m always curious to learn new ways to solve problems using data!

🌐 Socials:

LinkedIn

💻 Tech Stack:

Python NumPy Pandas Plotly Matplotlib Git GitHub MicrosoftSQLServer MySQL Power Bi Power Bi

🔝 Top Contributed Repo

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  1. Boxify_Sales_Analysis_and_Inventory_Insights---using_PYTHON Boxify_Sales_Analysis_and_Inventory_Insights---using_PYTHON Public

    Sales data analysis using Excel and Python to identify key performance metrics and optimize business operations.

    Jupyter Notebook

  2. Cab_Investment_Analysis--using_MS-EXCEL Cab_Investment_Analysis--using_MS-EXCEL Public

    Excel analysis of cab business investments, evaluating financial metrics for informed decision-making.

  3. McDonalds_Menu_Nutritional_Analysis--using_PYTHON McDonalds_Menu_Nutritional_Analysis--using_PYTHON Public

    Nutritional analysis of McDonald’s menu using Python, focusing on calorie counts and health insights across various food categories.

    Jupyter Notebook

  4. NFT_Data_Analysis--using_SQL NFT_Data_Analysis--using_SQL Public

    SQL-based analysis of NFT market trends and user behavior, focusing on sales and ownership data.

  5. Zomato_Dashboard--using_PowerBi Zomato_Dashboard--using_PowerBi Public

    Power BI dashboard analyzing sales, orders, and customer trends to provide insights into the food delivery market.

  6. Netflix-Project Netflix-Project Public

    Analysis of Netflix user behavior, demographics, and subscription data to optimize engagement and marketing strategies.

    HTML