• Lung Cancer Risk Analysis -  MySQL · Python · Power BI · 2026

Analyzed a healthcare dataset of 3,000 patients to identify risk factors and symptom patterns associated with lung cancer.

Used MySQL for data querying and validation, wrote SQL queries and built an interactive Power BI dashboard to visualize findings.

🔗 GitHub · 🔗 PDF file

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• Heart Disease Risk Analysis - Python · Machine Learning · 2025

Processed and analyzed a dataset of 70,000+ records to identify patterns linked to heart disease risk. Applied K-Means clustering and classification models (Logistic Regression, KNN, Random Forest) and evaluated performance using accuracy, AUC, and confusion matrix.

🔗 GitHub · 🔗 PDF file

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• Diabetes Prediction - Python · Machine Learning · 2025

Built and compared classification models (Logistic Regression, KNN, Random Forest) to predict diabetes outcomes. Performed correlation analysis, data visualization, and evaluated model effectiveness using standard classification metrics.

🔗 GitHub

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• Walmart Sales Forecast - Python · 2025

Cleaned and analyzed retail sales data to identify key factors influencing sales performance. Applied regression models to assess variable relationships and performed feature importance analysis and visualization.

🔗 GitHub