Negar Loloshahvar Portfolio

In this project, we analyze international debt data collected by The World Bank.

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In this project we have a dataset called films, which contains data about 4968 films including the title, release_year, country, duration, language, certification, gross, and budget. We want to write a SQL query that returns the average budget and gross earnings for films each year after 1990 if the average budget is greater than 60 million.

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In this project I will analyze the Walmart Stores Sales dataset. Walmart Stores are a chains of department stores in the US. I will implement the Pandas Python library to transform, subset, filter, sort, aggregate, slice, index, and analyze the dataset.

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Here you can find all the projects and dashboards I have built in Tableau.

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In this Power BI case study, we'll investigate a dataset from an example telecom company called Databel and analyze their churn rates.

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