This project is a Power BI dashboard that visualizes and analyzes responses from a global survey of data professionals. It highlights key insights like salary trends, job roles, programming language preferences, and work-life satisfaction.
Exploratory Data Analysis (EDA) on a dataset of global layoffs from 2020 to early 2023, using MySQL.
This project visualizes Airbnb listings in Seattle using Tableau. It analyzes listing prices, availability, revenue, and trends based on zip codes and bedroom counts..
This Excel dashboard visualizes bike purchase behavior across different demographics like gender, age, education level, income, and commute distance. Built entirely in Excel using pivot tables, slicers, and charts.
In this project we clean Tech Layoffs data in MySQL Server.
This project demonstrates a comprehensive data cleaning pipeline using Python's pandas library. It involves transforming a messy dataset into a standardized and analysis-ready format.
This project performs comprehensive data analysis and visualization on a global population dataset using Python, Pandas, Seaborn, and Matplotlib.