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  1. automated-product-classification automated-product-classification Public

    Developed an automated product classification system using NLP and computer vision techniques. The project utilizes advanced models like SIFT, VGG16, and BERT to classify e-commerce products based …

    Jupyter Notebook

  2. credit-scoring-model credit-scoring-model Public

    Implemented a credit scoring model to predict the probability of loan default for clients with limited credit history. The project includes data preprocessing, machine learning modeling, performanc…

    Jupyter Notebook

  3. ecommerce-customer-segmentation ecommerce-customer-segmentation Public

    Data-driven customer segmentation for an e-commerce platform using RFM analysis and clustering algorithms. Includes actionable marketing insights to enhance retention, satisfaction, and revenue. Te…

    Jupyter Notebook

  4. food-product-analysis-nutrition-app food-product-analysis-nutrition-app Public

    Analyzed public food product data to develop a scoring system for a nutrition recommendation app. Utilized machine learning techniques for health, environmental, and packaging impact scores to impr…

    Jupyter Notebook

  5. fruit-classification-cloud-deployment fruit-classification-cloud-deployment Public

    Implemented a scalable pipeline for deploying an AI model for fruit classification in the cloud. Utilized AWS services (EMR, S3) for Big Data processing, PySpark for distributed computations, and T…

    Jupyter Notebook

  6. energy-emission-prediction energy-emission-prediction Public

    Developed predictive models to forecast energy consumption and CO2 emissions of buildings using machine learning techniques. Applied advanced feature engineering, regression algorithms, and interpr…

    Jupyter Notebook