Projects

Analysis of Pandemic's Impact on Healthcare Systems and Happiness Index

Built a real time pipeline using COVID Python library, World Happiness Report, and vaccination datasets. Applied Random Forest, Decision Tree, Naive Bayes, and Ensemble Learning to boost classification accuracy to 92.5%.

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Customer Churn Prediction in Telecom Industry

Developed a NoSQL database with MongoDB on Docker, used Databricks for big data processing, performed data preprocessing with PySpark and Pandas, achieving model accuracy of 80% with Gradient Boosting.

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Target Retail Market Analysis and Strategic Recommendations

Analyzed Target's sales decline using surveys and Tableau. Provided actionable insights and strategic recommendations for digital transformation and omnichannel growth.

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Optimized Climate Data Integration with Real Time LLM Querying

Preprocessed large scale climate datasets, engineered custom MCP servers to integrate SQLite with LLMs for real time AI driven insights.

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