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Language: Python​
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Libraries: NumPy, Pandas, Matplotlib, TextBlob, NLTK, Seaborn
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Tools: Gemini AI, Google AI Studio, OxyLabs API
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Platform: Google Colab
Consumer Data Analytics - Beats by Dre
Purpose
Leverage data science techniques to analyze large datasets of consumer reviews to uncover patterns and trends, and extract meaningful insights to enhance the understanding of consumer sentiment and feedback to inform strategic brand-building efforts
Tasks Done
Web Scraping
Data Cleaning and Preprocessing
Exploratory Data Analysis
Sentiment Analysis
AI Prompt Engineering
Comparative Analysis
Dataset
Amazon reviews of headphones from five different brands including Beats to form a total of 1000 reviews
Applications
Providing valuable insights into consumer sentiment for Beats by Dre, highlighting both strengths and areas for improvement, thus contributing to a better understanding of market dynamics and to the strategic decision making to enhance brand perception and customer satisfaction