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satviklandge/README.md

 

Tech Stack

Languages
Libraries
Visualization
Tools

What I Work On

Area Description
EDA Uncovering trends, outliers, and patterns in datasets
Data Cleaning Preprocessing raw data for accurate, reliable analysis
Reporting Building visualizations that tell a compelling story
SQL Development Writing efficient queries for data extraction & transformation

Goals

  • Improve Data Storytelling through compelling visualizations
  • Collaborate on Real-World Datasets and open-source projects
  • Build a robust Portfolio in Data Analysis
  • Master Advanced SQL and analytical techniques

GitHub Activity

 

If you find my work useful, feel free to star the repositories!

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  1. Numpy Numpy Public

    NumPy (Numerical Python) is a powerful open-source Python library used for numerical computing and data manipulation.

    Jupyter Notebook

  2. Pandas Pandas Public

    Pandas is a powerful open-source Python library used for data manipulation and analysis.

    Jupyter Notebook

  3. Python-Fundamentals Python-Fundamentals Public

    Beginner-friendly Python practice covering core concepts, syntax, and problem-solving through hands-on examples.

    Jupyter Notebook

  4. Seaborn Seaborn Public

    Python data visualization project using Seaborn to explore and analyze datasets through statistical plots such as heatmaps, barplots, and distribution charts.

    Jupyter Notebook

  5. SQL SQL Public

    Python SQL basics project demonstrating database creation, tables, and CRUD operations using Python scripts

    Python

  6. Stocks_Analysis Stocks_Analysis Public

    A Python-based stock market analytics dashboard that processes NSE large-cap trade data through Pandas and visualises it via an interactive Streamlit interface. Features real-time filtering, sector…

    Python