Welcome to my Data Analysis Portfolio! This collection showcases projects using Python with libraries like pandas, NumPy, Seaborn, and Dask for efficient resource management. You'll also find data visualizations in Tableau and Power BI, alongside analyses in Excel and SQL.
Each project highlights different aspects of data analytics, from accident analysis to financial modeling, demonstrating how data can solve real-world problems. I hope these projects inspire you to explore the potential of data analysis and visualization.
This project analyzes large-scale traffic accident data to uncover trends. Key findings on weather, road conditions, and severity are visualized in Matplotlib charts and cluster maps.
This project analyzes London’s bike-sharing data to find usage patterns influenced by weather, holidays, and seasons. Results are visualized in a Tableau Dashboard.
This project explores Euro-to-dollar exchange rates from 1999 to 2021, focusing on storytelling through data visualization. Key findings are presented using Matplotlib.
Satisfying the huge global demand for garment products is mostly dependent on the production and delivery performance of the employees in the garment manufacturing companies.
Jeopardy is a popular TV show in the US where participants answer questions to win money. This project works with a dataset of Jeopardy questions to figure out patterns that could help win.
By leveraging relevant data sources and analytical tools, this project provides actionable insights to inform the company’s advertising decision-making process.
Analyzed sales data for a clothing brand to uncover trends, seasonality, and customer preferences. Built visualizations and identified key revenue drivers, helping inform inventory decisions and marketing strategies.
