A Linear Regression project in R that predicts insurance charges based on factors like age, BMI, smoking status, and gender. It includes data preprocessing, correlation analysis, model building, an…

Logistic Regression model built in Orange to predict employee attrition with 84% accuracy and AUC of 0.71, including ROC analysis and confusion matrix evaluation.

Interactive Power BI dashboard analyzing IPL data to uncover insights on team performance, toss decisions, venue impact, and winning trends using data visualization techniques.

End-to-end Power BI dashboard project analyzing credit card default behavior using demographic and financial variables to identify risk patterns, customer segments, and actionable business insights…

Electronics Sales Analysis Dashboard — Excel | Retail sales analytics across 5 regions, 7 categories, 1,500+ records | PivotTables, KPI Scorecards, Power Query

This project builds a Decision Tree model to predict loan approval using financial and demographic data. It includes data preprocessing, encoding of categorical variables, model training, and evalu…

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Designed and developed an Interactive HR dashboard analyzing 7,000+ employees Uncovers insights on retention, turnover, and diversity trends Enables data-driven decision-making for workforce planni…

Built a Logistic Regression model in R to predict housing loan approvals using financial and demographic data. Performed data preprocessing, feature engineering, and model evaluation using ROC curv…