via
Beats by Dre
Consumer insights data analytics
A consumer insights data analytics externship exploring how customer reviews can inform brand decisions. I worked through data preparation, analysis and communication rather than treating sentiment scores as a complete explanation of customer experience.
Timeline
June–July 2024 · Two-month consumer insights data analytics externship via Extern.
My contribution
Prepared and explored review data in Python, examined sentiment and recurring themes, and created visualizations to communicate patterns. Developed recommendations grounded in the analysis.
How I worked
Combined exploratory analysis with NLP to look at both broad sentiment and specific feedback. Used charts to make comparisons readable and considered the composition of the dataset when interpreting results.
Work & learning
A consumer insights analysis connecting technical exploration with business communication. The public project includes a chart from the capstone notebook; review samples describe the dataset and should not be interpreted as market share.
Related work
Listening to the customer
Cleaning and exploring consumer reviews to understand sentiment and turn feedback into useful recommendations.