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Analyzed telecommunications churn dataset using SQL. Identified the root causes of customer churn and developed retention strategies to drive business growth and decision-making.
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I compiled my wedding planning data in spreadsheets then analyzed it, and visualized it in Tableau. This allowed my fiance and I to find patterns and insights that informed our decision making process.
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Visualized an Airbnb dataset to show which neighborhoods, how many bedrooms, and which times are year were the most lucrative for Airbnb hosts in Seattle in 2016.
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Using SQL, I analyzed Danny's Diner's customer data to provide him with a detailed understanding of his customers' visiting patterns, spending habits and favorite menu items. Armed with these insights, Danny can make informed decisions about his loyalty program and provide personalised experiences to his most loyal customers.
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