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MariyamSiddiqui/README.md

Hi there, I'm Mariyam Siddiqui πŸ‘‹

🎯 Aspiring Data Scientist | πŸ“Š Data Analyst | 🐍 Python Enthusiast


πŸ‘©β€πŸ’» About Me

I'm a passionate and curious Data Science learner who loves turning messy data into meaningful insights. Currently working on real-world datasets using Python, Pandas, and Matplotlib.

  • πŸ” Interested in Data Analysis, Machine Learning & Visualization
  • πŸ’» Comfortable with Jupyter Notebooks, NumPy, pandas, Seaborn, and Matplotlib
  • πŸ“š Currently learning: Machine Learning with scikit-learn & SQL
  • πŸŽ“ Looking for internships and collaborative open-source projects

πŸš€ Tech Stack

Python pandas NumPy Matplotlib Seaborn Jupyter SQL


πŸ“‚ Featured Projects

Project Description Tools
Netflix 1990s Movie Analysis Analyzing short action movies and movie durations from the 1990s using pandas and matplotlib Python, pandas, matplotlib

πŸ“ˆ GitHub Stats


πŸ“¬ Contact Me


πŸ™Œ Let's Connect!

If you like my work or want to collaborate on data projects, feel free to reach out. Always happy to connect with fellow learners and data lovers! 🌟 πŸ’¬ Open to internships, collaborations, and freelance data analysis projects.

Popular repositories Loading

  1. Airport-Management-System Airport-Management-System Public

    TSQL 5

  2. Python-Website Python-Website Public

    A website using python for project

    HTML 4

  3. Automate-With-Python Automate-With-Python Public

    Automate boring and repetitive tasks such as creating an Excel report, sending text messages, extracting tables from websites, interacting with websites, and more.

    Jupyter Notebook 3

  4. MariyamSiddiqui MariyamSiddiqui Public

    Config files for my GitHub profile.

  5. Web-Scraping Web-Scraping Public

    Perform web scraping with Python using the Beautiful Soup library

    Python

  6. Investigating-Netflix-Movies Investigating-Netflix-Movies Public

    In this project, we analyze Netflix's movie dataset to focus specifically on movies released in the 1990s (from 1990 to 1999).

    Jupyter Notebook