Projects
Analysed Maven Telecom's churn dataset using SQL and built a dashboard in Tableau to visualise results. Identified the root causes of customer churn and developed retention strategies to drive business growth and decision-making.
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Performed an exploratory analysis of Superstore sales data using Python and built a dashboard in Tableau and Figma to visualise results. Devised cost-saving strategies that saved Superstore $18,000 in losses.
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Using SQL, I analyzed Danny's customer data to understand their visiting patterns, spending habits, and favorite menu items. With these insights, Danny can make informed decisions on expanding his loyalty program and delivering a personalised experience to his loyal customers.
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Using SQL, I developed a relational database for an online delivery company and implemented it to support their business processes.
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I transformed and analysed this dataset (vehicle characteristics) using various statistical methods including Regression models, Independent samples T-test and ANOVA.
The goal was to determine which car type exhibits more fuel economy and environmental friendliness.
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I evaluated airline reviews using sentiment analysis and various statistical methods to identify the key drivers of passenger satisfaction.
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I leveraged machine learning models to predict energy consumption and carbon emission levels, providing valuable insights for global sustainable energy strategies.
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