Key Projects & Insights
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An advanced data analytics project combining Python and Tableau to uncover deep insights in customer behavior and product performance using real e-commerce data.
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Predicting customer churn in a telecom company using machine learning and an interactive Streamlit app.
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End-to-end revenue forecasting and optimization solution using time series modeling, promotion analysis, and dynamic pricing simulation.
This project delivers an advanced analytics solution for a retail business, aiming to enhance customer engagement and sales through intelligent product recommendations and behavior-based segmentation.
Built an advanced anomaly detection system using Isolation Forest, Local Outlier Factor, and Autoencoders to identify fraudulent transactions with explainable AI and dynamic risk scoring.
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This project focuses on real-life data cleaning, validation, and anomaly detection for the Rajiv Gandhi Social Security Scheme (RGSSS), implemented by the Revenue Department of the Government of Puducherry.