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Work Samples

  • NLP

    1. Focuses on sentiment analysis of airline-related tweets, leveraging machine learning models, text preprocessing, and data visualization to predict sentiments as positive, neutral, or negative. The dataset contains tweets tagged with sentiment and confidence scores, requiring significant preprocessing and exploration to ensure quality predictions.
  • Data Science Case Study

    1. Identifies which new loan applicants should be approved based on historical application and performance data. Address potential issues and propose improvements.

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