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pavsingh7/README.md

Biography

I am Pavan Singh, a data scientist in Financial Services within an advanced analytics team. My research interests lie with Recommender Systems (RecSys) and their applications, as well as predictive modelling. For more information see my portfolio.

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  1. Customer-Churn-Prediction Customer-Churn-Prediction Public

    A large statistical analysis into optimally generating a classification model to best predict customer churn.

    Jupyter Notebook

  2. Customer-Segmentation Customer-Segmentation Public

    Look to apply several different clustering algorithms to create customer segments using customer spending habits

    Jupyter Notebook

  3. AirBnB-Clustering-Analysis AirBnB-Clustering-Analysis Public

    Applied several clustering algorithms (both HC and NHC) to assess AirBnB listings in the Cape Town region.

    R

  4. SONA-President-Classification SONA-President-Classification Public

    Using text from the SONA speeches from 1994 to 2022 as input to a artificial neural network classifier to predict president.