Seonkyu Kim

Data Scientist | Purdue MS BAIM'24

Predicting Consumer Tastes with Big Data at GAP

The project team suggested several web data analytics to predict consumer trends for GAP.

  1. Consumer Sentiment Analysis
  2. Competitor Analysis
  3. Fashion Trends and Influencer Data (Google Trends data)
  4. Demographic and Geographic Data (US Census)
  5. Economic Indicators (10K Forms)

Presentation Slides

The presentation slides are also available here.