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1. Ecommerce-Recommendation-System-Using-Machine-Learning Ecommerce-Recommendation-System-Using-Machine-Learning Public

   A machine learning product recommendation system using rank-based, collaborative filtering, and SVD model-based methods to suggest relevant items. Built with an Amazon electronics ratings dataset t…

   Jupyter Notebook

2. Sentiment-Analysis-on-App-Reviews-Using-BERT-Overview Sentiment-Analysis-on-App-Reviews-Using-BERT-Overview Public

   Fine-tuned BERT model for sentiment analysis on app reviews, classifying them as negative, neutral, or positive. Includes preprocessing, tokenization, PyTorch training, and evaluation, providing ac…

   Jupyter Notebook

3. Supply-Chain-and-Demand-Forecasting-Using-MSTL-and-TimeGPT Supply-Chain-and-Demand-Forecasting-Using-MSTL-and-TimeGPT Public

   This project combines supply chain analytics and demand forecasting to predict weekly sales for store-SKU combinations. Using MSTL and TimeGPT models, it provides actionable insights for inventory …

   Jupyter Notebook

4. Customer-Segmentation-Using-KMeans-Clustering Customer-Segmentation-Using-KMeans-Clustering Public

   The project involved using KMeans clustering to segment customers based on behavioral patterns and preferences providing customer segments for targeted marketing strategies.

   Jupyter Notebook

5. Churn-Analysis-and-Retention-Strategy-Optimization Churn-Analysis-and-Retention-Strategy-Optimization Public

   This project analyzes customer churn patterns to uncover key risk factors and service adoption trends. It provides data-driven insights and strategic recommendations to improve retention and custom…

6. Retail-Store-Database-Design-and-Key-Business-Metrics-Analysis Retail-Store-Database-Design-and-Key-Business-Metrics-Analysis Public

   The project involved designing a MySQL database to store and normalize transaction, customer, and product data. SQL queries were used to extract business insights like sales trends, product perform…