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Conducted Python web-crawler; scraped google reviews of Under Armour and Nike offline stores.[Google Crawler]
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Built keyword extraction tool using TF-IDF, Topic Model (LDA, LSA) and TextRank to identify customer concerns and find operational insights.[Keyword Extraction]
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Develop topic and sentiment classifiers using word embedding and machine learning models (Logistic Regression, Random Forest, Boosting) to assess customer perception to sports brand.[Topic Sentiment Classifier]
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Produce data visualization report using Tableau to interrupt data and convey results to all stakeholders.[Ongoing]
