This repository contains data analysis projects and interactive dashboards created using Jupyter Notebooks, SQL, and Looker Studio. The projects cover various domains, including marketing, sales, e-commerce, video game analytics, and more.
This folder contains Python-based data analysis projects, leveraging powerful libraries such as:
- pandas & NumPy for data manipulation
- Matplotlib & Seaborn for data visualization
- Scikit-Learn for basic machine learning tasks
Each notebook explores real-world datasets, uncovering trends, patterns, and insights through data exploration and visualization.
This folder includes interactive dashboards built in Looker Studio, designed for visualizing key metrics and trends.
- π PDF Exports of dashboards for reference
- π Live Dashboard Links for real-time data exploration
This folder contains SQL scripts for data extraction, cleaning, and analysis using joins, aggregations, and window functions.
Ensure you have Python installed, then install the required libraries:
pip install pandas numpy matplotlib seaborn scikit-learn