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1. HotelCustomersClusteringProject HotelCustomersClusteringProject Public

   This Customer Clustering Model uses the KMeans algorithm to segment customers into distinct groups based on their booking behaviors and preferences

   Jupyter Notebook

2. Datawarehousing_and_BI_Project Datawarehousing_and_BI_Project Public

   A comprehensive data warehousing initiative leveraging OLAP cubes for multidimensional data modeling, with advanced business intelligence reporting delivered through Power BI dashboards and Excel-b…

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3. Ecommerce-FAQ-RAG_Chatbot Ecommerce-FAQ-RAG_Chatbot Public

   A Retrieval-Augmented Generation (RAG) based Ecommerce Customer Support Chatbot built with LangChain, OpenAI GPT, FAISS, and Gradio. This bot retrieves answers from a structured FAQ dataset and gen…

   Jupyter Notebook

4. Smart-Automation-of-Life-Insurance-Using-AI-and-Multimodal-Interface Smart-Automation-of-Life-Insurance-Using-AI-and-Multimodal-Interface Public

   HTML 1

5. Big-Data-Analytics-on-E-Commerce-Transactions-using-PySpark Big-Data-Analytics-on-E-Commerce-Transactions-using-PySpark Public

   End-to-end e-commerce analytics project leveraging PySpark on Databricks. Includes data cleaning, feature engineering, sales & revenue analysis, shipping delay evaluation, and interactive dashboard…

   Jupyter Notebook

6. E-commerce-ETL-Pipeline-with-Apache-Airflow E-commerce-ETL-Pipeline-with-Apache-Airflow Public

   An end-to-end data engineering pipeline that ingests raw e-commerce order data, transforms it into a dimensional (star schema) warehouse in PostgreSQL, and exposes it through BI dashboards — orches…

   Python