Developed a machine learning model to detect fraudulent credit card transactions using Python and Scikit-learn. Performed data preprocessing, feature engineering, model training, and evaluation to improve fraud detection accuracy. Built a reliable solution for identifying suspicious transactions.
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33
Developed an interactive Power BI sales dashboard to track revenue, profit, sales trends, and regional performance. Cleaned and transformed data using Excel and SQL to create insightful reports that support business decision-making.
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28
Built a customer churn analysis project using Python, SQL, and Excel to identify customers at risk of leaving. Performed data cleaning, exploratory analysis, and created visualizations to support retention strategies.
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34
Developed an interactive Power BI dashboard to analyze employee attrition, workforce trends, and HR metrics using Excel and SQL data. Cleaned, transformed, and visualized data to provide actionable business insights.