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  • Graduate Student, UC Berkeley
  • Berkeley, CA

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  1. Influencer_Optimal_Selection Influencer_Optimal_Selection Public

    This project aims to compare and analyze results from different optimization methods—MILP using branch and bound, MILP using branch and cut, and Genetic Algorithm—to identify the best approach for …

    Jupyter Notebook

  2. Startup_Success_Classification Startup_Success_Classification Public

    This project focuses on developing predictive models that classify startups based on key performance indicators, enabling investors and stakeholders to make data-driven decisions.

    Jupyter Notebook

  3. Cognitive_Surveillance Cognitive_Surveillance Public

    Cognitive Surveillance system -- detect any malicious activity (when person is looking away from camera) and alert though warning popups and email notifications (to the concerned authority)

    Python

  4. Genetic_Algorithms_Knapsack_Problem Genetic_Algorithms_Knapsack_Problem Public

    Solving a single constraint binary (0-1) Knapsack problem using the concept of Genetic Algorithms

    Python

  5. Fraud_Detection_CreditCard Fraud_Detection_CreditCard Public

    Detecting the fraudulent credit card transactions by training Decision Tree model using Scikit-learn and SnapML

    Jupyter Notebook

  6. Image_Classifier_Model_Hotdog Image_Classifier_Model_Hotdog Public

    Building an Image classifier model to train and test a dataset and classify the given images into hotdog and not-hotdog.

    Python