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  1. immigration_data_etl_analysis immigration_data_etl_analysis Public

    This project demonstrates skills in data engineering, specifically it contains an efficient ETL process utilizing AWS EC2, EMR and S3, Python and Spark and orchestrating the data pipeline with Airflow

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  2. prod2vec prod2vec Public

    This project contains a pipeline, orchestrated with Airflow, for training product vectors (prod2vec) with Amazon Sagemaker

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  3. next-basket-prediction next-basket-prediction Public

    Utilizes sequence models to generate "next basket" recommendations for a grocery retail dataset

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  4. grocery-recommender grocery-recommender Public

    This project builds a hybrid recommender system for a grocery store utilizing Matrix Factorization and classification algorithms

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  5. shopping-missions shopping-missions Public

    Creates "shopping missions", a segmentation of baskets where those baskets contain similar items. The segmentation is developed using principles from NLP, specifically topic models. The pipeline ut…

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  6. cust2vec cust2vec Public

    Generates customer vectors utilizing doc2vec models and creates customer segments by clustering customers with similar vectors

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