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Projects

    Sales Analytics                                    January – December 2022

  • Applying Machine Learning to Sales Data.
  • Used ensemble methods to find customers that should be added on the beta version of application.
  • Used Market Baskest Analysis to model product recommendations based on products previously bought by the customer.

    Incentivized Federated Learning                   Fall 2022

  • Implemented Incentivized Federated Learning (IncFL) Algorithm using TensorFlow Federated library and python, this algorithm encourages clients to be part of distributed machine learning framework.

    Fraudulent Platform detection                     Spring 2022

  • Led a research project to study the risk posed by online C2C marketplace platforms and how we could use this knowledge to find fraudulent platforms also formulate different strategies to model this risk, scraping data and then using ml algorithm to identify patterns.