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clv

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This project dives deep into the sales, delivery, and customer feedback data of major grocery delivery platforms – Blinkit, Swiggy Instamart, and JioMart. It is designed to showcase my ability to clean, analyze, and visualize data using Microsoft Excel.

  • Updated Feb 7, 2026

🚀 EcomOpti: 6-phase ML pipeline for telco churn prediction, CLV estimation & retention campaign optimization. Features survival analysis, causal uplift modeling, budget optimization, FastAPI microservice & interactive Power BI-style Dash dashboard.

  • Updated Jan 27, 2026
  • Python

End-to-end Customer Lifetime Value (CLV) Prediction & Retention Analytics System built with Python, XGBoost, and Streamlit — includes RFM segmentation, cohort analysis, persona insights, model monitoring, drift detection, logs analytics, and automated executive summary reporting.

  • Updated Nov 30, 2025
  • Python

A Streamlit-based dashboard that predicts a customer's future spending in the next 3 and 6 months, classifies customer type (Retail or Wholesaler), and visualizes their past purchasing behavior using transactional data.

  • Updated Jul 20, 2025
  • Jupyter Notebook

A data science project leveraging Python and Scikit-Learn to build predictive models that estimate customer lifetime value (CLV). Includes data cleaning, feature engineering, and model selection to identify key drivers of CLV, supporting strategic decision-making in customer retention and marketing.

  • Updated Oct 22, 2024
  • Jupyter Notebook

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