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AjNavneet
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Abhinav Navneet AjNavneet

Applied Research AI/ML

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  1. TimeSeries-Greykite-NeuralProphet-Walmart-Flask TimeSeries-Greykite-NeuralProphet-Walmart-Flask Public

    Developed time series models utilizing Greykite and Neural Prophet on Walmart retail data, with Flask deployment for efficient and scalable access.

    Jupyter Notebook 4 1

  2. Graph-Recommender-FAISS-ECommerce Graph-Recommender-FAISS-ECommerce Public

    Designed a graph-based recommender system using FAISS for similarity search, for e-commerce applications based on user purchase and search history.

    Jupyter Notebook 6 3

  3. MultiTouch-Attribution-Marketing-Spend-Optimization MultiTouch-Attribution-Marketing-Spend-Optimization Public

    Multi-touch attribution models to determine the channels that lead to greater customer conversions.

    Jupyter Notebook 14 2

  4. TimeSeries-ARCH-GARCH-AWS-Deployment TimeSeries-ARCH-GARCH-AWS-Deployment Public

    Implementation of ARCH and GARCH models with MLOps pipeline on the AWS for deployment and management in a production environment.

    Jupyter Notebook 4 1

  5. Hybrid-Recommender-LightFM-Retail Hybrid-Recommender-LightFM-Retail Public

    Built a hybrid recommendation system with LightFM library and customised loss functions to optimize performance on retail data."

    Jupyter Notebook 8

  6. Polyp-Segmentation-UNet-Colonoscopy-Images Polyp-Segmentation-UNet-Colonoscopy-Images Public

    Polyp recognition and segmentation for colonoscopy images using UNet++ model.

    Jupyter Notebook 4