Developed a web scraping tool using Python's BeautifulSoup and Requests libraries to automate data extraction and processing from a target website.
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For the NLP project focused on Moneygram reviews, I implemented advanced BERT and RoBERTa models to predict sentiment polarity. Leveraging these state-of-the-art models, the project aimed to analyze customer sentiment expressed in reviews, providing valuable insights for enhancing Moneygram's services and customer satisfaction.
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Performed exploratory data analysis and predictive modeling on a Kaggle dataset, demonstrating proficiency in data visualization and machine learning.
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