Beats' Consumer Insights
Date
May 2024
Service
Data Analysis
Client
Beats by Dr. Dre & Extern
Project Overview
This internship project with Extern and Beats by Dr. Dre aimed to understand consumer opinions regarding Beats headphones by analyzing customer reviews and of competitors like Apple, Bose, and Sony. The objective was to leverage data gathering, cleaning, analysis, and natural language processing to identify strengths, weaknesses, and areas for improvement for Beats by Dr. Dre.
Key Highlights
Tools: Python, pandas, numpy, seaborn, nltk, matplotlib
Data Collection & Preparation: Scraped Amazon customer reviews via the OxyLabs API, then transformed the raw JSON data into a clean, usable CSV format, by handling missing values and duplicates.
Comprehensive Analysis & AI Integration: Conducted Exploratory Data Analysis (EDA) and sentiment analysis to understand customer opinions. Integrated Gemini AI to enhance summarization and extract deeper insights from the large dataset.
Identified Key Product Strengths & Weaknesses: Analysis identified Beats by Dre's core strengths in sound quality, noise cancellation, and battery life and weaknesses in fit, durability, and comfort (especially with the Beats Solo 4)
Delivered Actionable Insights: Synthesized all findings into a comprehensive report, providing clear, actionable intelligence directly relevant for guiding future product enhancements and marketing strategies for stakeholders.
What I Learned
I gained practical experience in selecting effective data collection methods, recognizing the limitations of web scraping and the advantages of using APIs. I learned how to clean data and preprocessing, understanding the critical role in ensuring data integrity. Furthermore, I enhanced my skills in exploratory data analysis, data visualization, and sentiment analysis. Most importantly, I gained valuable experience in effectively communicating complex data findings into clear, actionable insights and summarizing them into a coherent report for business stakeholders.
