Skip to content
View Muhammad-765's full-sized avatar
0 followers · 2 following

Block or report Muhammad-765

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. power-bi-data-professional-survey-dashboard power-bi-data-professional-survey-dashboard Public

    Interactive Power BI dashboard analyzing a data professional survey, covering salary, job roles, programming preferences, geographic distribution, career entry difficulty, and job satisfaction.

  2. tableau-seattle-airbnb-market-analysis tableau-seattle-airbnb-market-analysis Public

    Tableau analysis of Seattle Airbnb listings exploring pricing by ZIP code, geographic price patterns, revenue trends, and pricing by bedroom count.

  3. sql-data-cleaning-project sql-data-cleaning-project Public

    End-to-end MySQL data cleaning project covering duplicate detection, data standardization, NULL handling, date transformation, and data-quality validation using a layoffs dataset.

  4. Exploratory-Data-Analysis-of-Layoffs-Using-SQL Exploratory-Data-Analysis-of-Layoffs-Using-SQL Public

    Exploratory analysis of a global layoffs dataset using MySQL, covering company, time, country, industry, funding stage, and yearly ranking analysis with CTEs and window functions.

  5. alaska-aviation-facilities-analysis alaska-aviation-facilities-analysis Public

    Exploratory analysis of Alaska aviation facility data using Python, Pandas, Jupyter Notebook, and Excel.

    Jupyter Notebook

  6. bike-sales-analysis-excel bike-sales-analysis-excel Public

    Excel-based bike purchase analysis using data cleaning, categorization, PivotTables, and dashboard visualization to identify customer purchasing patterns.