Paul Chen

Paul Chen

AI Enthusiast, Artist, and Boardgame Lover

Professional Experience

CVS Health

New York, NY

Senior Decision Scientist

May 2024 – Present

  • Led the end-to-end development and productionization of a GenAI chatbot that simplifies dashboard insights for non-technical users. The solution processes natural language queries, dynamically converts them into SQL, queries real-time databases, and returns actionable insights in plain language
  • Saved 60% of manual effort by leading the development and productionization of a GenAI solution that extracts patient records and auto-populates prior authorization forms with 90%+ accuracy
  • Delivered $1M+ in annual savings by leading data-driven analyses to optimize benefit verification processes

Kearney

Chicago, IL

Management Consultant (Digital and Analytics practice)

Jul 2022 – May 2024

  • Transformed indirect logistics costs for a discount wholesaler, identifying $2M (16%) in potential savings by consolidating and analyzing RFP responses from 70+ carriers, modeling savings scenarios, and providing customized feedback to each carrier using Python and Alteryx
  • Designed, developed, and owned a generative AI solution for a leading multinational IT company, reducing data-driven decision-making time for C-Suite executives by over 90%
  • Pioneered 2 generative AI PoCs in the procurement space, enhancing spend categorization and contract metadata extraction efficiency by 70%
  • Led the analytic workstream in a 4-wall assessment project for a leading outdoor retailer and built a master dataset, delivering high-quality analyses in baseline, labor models, cost-to-serve models, and internal/external benchmarks
  • Conducted E2E supply chain diagnosis for a leading manufacturing company, resulting in savings of $2M annually

SIL International (Linguistic NGO affiliated with United Nations)

West Lafayette, IN

Data Scientist Intern

Jan 2022 – May 2022

  • Reduced monetary cost and training time for a translation model by scripting an algorithm to optimize training datasets and provide a clear strategy for selecting semantic domains (translation content) via Python
  • Devised a novel approach for translating rare languages, previously reliant on human translation

Purdue University Krannert School of Management

West Lafayette, IN

Graduate Teaching Assistant

Sep 2021 – May 2022

  • Assisted professors with lesson planning, holding office hours, and grading assignments and exams
  • Teaching Assistant for Management Information System (MGMT382) (1 Semester)
  • Teaching Assistant for Python Programming (MGMT586) (2 modules)

Shoetown Group (Shoe Manufacturer for Nike)

Qingyuan, China

Data Analyst (Co-op)

Feb 2019 – Feb 2020

  • Automated inventory system, cutting manual data entry time by 3600%, using Excel VBA
  • Implemented a machine performance system to enable the company to monitor 3D printer running times

Research Team Lead

  • Led a team of 5 people in defining an optimization problem by coordinating with stakeholders, assigning tasks, setting timelines for deliverables, and presenting to professors with an oral defense
  • Provided C-Suite executives with an optimized model for workstation layout computable within 1 minute to minimize assembly costs by using robust optimization models in Python and Gurobi

Additional Achievements

Kearney Purdue Student Lab

Chicago, IL

Mentor

Apr 2024

  • Mentored a team in the Purdue MSBA program to complete a network optimization project for a leading car aftermarket company

Suit Up

Chicago, IL

Mentor

Oct 2023

  • Coached and mentored underrepresented students, fostering their discovery of passions through hands-on experiential learning. This collaborative effort contributed to my team securing 1st place in the business case competition

Analyst

Apr 2022

  • Won 2nd place in the competition

2022 SAS Optimization Challenge

West Lafayette, IN

Team Leader

Feb 2022

  • Won 1st place in the competition
  • Utilized SAS to forecast water usage and developed three optimization models to determine the optimal contract with minimum cost