Project Overview
Raw data is rarely ready for analysis, In this project, I took a messy dataset of housing market transactions and transformed it into a structured, reliable format. The goal was to ensure data integrity and make the dataset analysis-ready by resolving common issues like inconsistent formatting, missing values, and duplicate entries.
Public health data, while abundant, is often fragmented and inconsistent across different jurisdictions. In this project, I cleaned and prepared a comprehensive COVID-19 dataset (tracking deaths and vaccinations) for analysis. My primary objective was to transform raw, daily-reported figures into a high-integrity database suitable for global trend modeling and comparative study.
King County Housing Market Analysis An end-to-end data visualization project using Tableau Public to track and analyze residential real estate trends in King County, WA. I transformed raw housing data into actionable insights, featuring a dynamic calendar view for price fluctuations and a condition-based heatmap to evaluate property value drivers.
In this project, I processed a dataset of over 1,000 customer records for a bike retail business. The raw data contained several inconsistencies and noisy attributes that hindered accurate reporting. I performed a comprehensive cleanup to ensure the data was structured for high-level pivot table analysis and executive dashboarding.
This dashboard provides a high-level view of the global pandemic impact, focusing on mortality rates and infection trends across continents. The project demonstrates my ability to manage large-scale datasets and present critical public health information clearly.
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