Belen
the Brilliant
Analyst
Portfolio

In this project, we explored the data to uncover trends, patterns, and notable outliers, including companies with the highest number of layoffs. Additionally, we examined these layoffs on an annual basis.

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In this project, we explored Airbnb listing data using Tableau to analyze and identify trends, patterns, and insights by bedroom and zip code. We focused on key metrics such as the average price per bedroom, price per zip code, and distinct count.

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In this project we scrape data from Amazon to analyze price data for products.

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In this Power BI dashboard, we gathered data on the country of survey takers, average salary by job, favorite programming language, and levels of happiness with work and salary.

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In this project, we focus on cleaning the dataset and creating a pivot table to analyze average income, bike purchase status, commute distance, and age bracket.

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