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SaiSurajMatta/README.md

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Hey, I'm Sai Suraj ๐Ÿ‘‹

I'm a CS Master's Student at Purdue University, Aspiring to be a Software Engineer/Developer

  • ๐ŸŒฑ Iโ€™m Interested in Data Analytics
  • ๐Ÿ‘€ Iโ€™m currently learning Machine Learning, Data Science, and Web development
  • ๐Ÿ’ž๏ธ Iโ€™m looking to collaborate on Anything Exciting!

โœ๏ธ A little about me

๐Ÿ’ผ Technical Skills

Data Analysis Tools:

sql python Excel PowerBI Tableu Pandas

Languages:

java c html5 css3 javascript

Tools:

visualstudio Github Github

๐Ÿค Connect with me:

username

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  1. Nashville-Housing-Data-Cleaning-Project Nashville-Housing-Data-Cleaning-Project Public

    Clean and standardize Nashville Housing dataset using SQL queries for improved data quality and structure.

  2. Airbnb-Data-Visualisation-Project Airbnb-Data-Visualisation-Project Public

    Explored and visualized Seattle Airbnb data to gain insights into pricing, geographic trends, and optimal listing strategies for hosts.

  3. Amazon-Price-Tracker-and-Notifier Amazon-Price-Tracker-and-Notifier Public

    Amazon Price Tracker and Notifier: A Python script for automated tracking of product prices on Amazon, logging data over time, and sending email notifications when prices fall below a specified thrโ€ฆ

    Jupyter Notebook 1

  4. Bike-Sales-Excel-Dashboard-Project Bike-Sales-Excel-Dashboard-Project Public

    Bike Sales Excel Dashboard Project: Analyzed and visualized sales data, cleaned datasets, and created interactive dashboards in Excel.

    9 1

  5. Data-Professionals-Survey-Data-Visualization-Project Data-Professionals-Survey-Data-Visualization-Project Public

    Transformed survey data of data professionals using Power BI, showcasing diverse visualizations and analytics, with emphasis on job roles, programming languages, and geographical insights.

  6. Wikipedia-Web-Scraping-Python-Project Wikipedia-Web-Scraping-Python-Project Public

    Wikipedia scraper for extracting and organizing data on the largest companies in the United States by revenue into a structured CSV file.

    Jupyter Notebook