I'm a final-year Computer Science (Data Science) undergraduate. I specialize in building scalable data pipelines, interactive dashboards, and machine learning models. I love problem solving, building stuff, and vibe coding new ideas into reality.
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heart-disease-prediction-failure-analysis
heart-disease-prediction-failure-analysis PublicEnd-to-end project combining heart disease risk prediction with a Streamlit app and heart failure outcome analysis through a Power BI dashboard.
Jupyter Notebook
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insurance-claims-pipeline
insurance-claims-pipeline PublicEnd-to-end insurance claims pipeline with fraud detection. MongoDB → Airbyte → Snowflake → dbt → Power BI. Identified 5.2% fraud rate across 10K+ claims.
Python
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ml-guard
ml-guard PublicProduction ML pipeline that monitors models for drift (PSI, KL, KS tests), automatically triggers retraining when performance degrades, and deploys validated models with zero downtime.
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