KPMG Capstone (Spring 2019)

• Project name: Algorithmic Comment Processing
• Goal: to automate the identification and summarization of sections in PDF documents
• Effects:
  • Prior to automation: 30 people for 12 to 20 weeks
  • Post to automation: 2 people for 2 weeks
• My responsibilities include:
  • Feature engineering: Line space(LS) and Ratio of title word to total ranked at top among others
  • Model implementation: XGBoost
• A copy of the final report is here

Contributors:

• Gayani Perera (in alphabetical order)
• Liliana Cruz-Lopez
• Minsu Yeom
• Pranjal Bajaj

Industry mentors:

• Junghoon Woo, Director Data Scientist, Data & Analytics (The Lighthouse), KPMG LLP, US
• Viral Chawda, Principal, Innovation & Enterprise Solutions (I&ES), Lighthouse and Global lead, AI & Analytics for Government & Infrastructure, KPMG LLP, US

Data Science Institute mentor:

• Sining Chen, Lecturer, Columbia University

6 Takeawys of the Final Report