Hi, I'm Paul Chen

AI Enthusiast, Artist, and Decision Scientist

I specialize in applying AI and analytics to solve real-world problems in healthcare and beyond, transforming complex challenges into actionable insights.

About Me View Projects
Paul Chen

About Me

I'm a Senior Decision Scientist at CVS Health, where I use AI and analytics to solve real-world problems within healthcare. My work focuses on making complex business decisions easier through predictive modeling, optimization, and innovative use of AI. Whether it's streamlining processes or enhancing patient experiences, I aim to make a tangible impact with every project I undertake.

Previously, I was a Management Consultant at Kearney (Digital and Analytics), where I specialized in transforming intricate challenges into actionable insights. My experience with Generative AI and Natural Language Processing (NLP) has been instrumental in pushing the boundaries of business applications in these emerging fields. I'm particularly passionate about Large Language Models, optimization techniques, and the practical deployment of AI solutions.

Outside of work, I'm an avid traveler and a foodie who loves to explore new places and cultures. So far, I've visited Spain, the United States, Japan, Mexico, South Korea, China, Singapore, Indonesia (Bali), the United Kingdom, the Czech Republic, Austria, United Arab Emirates (Dubai), and Thailand! I also enjoy painting, cooking, playing board games, Nintendo, and badminton.

Fun fact: I am a proud Google Maps Level 7 Local Guide, and my photos have garnered over 10 million views.

Skills & Expertise

Python
R
SQL
Excel VBA
PowerBI
HTML
SAS
AI/ML
LLMs

Education

Purdue University

Krannert School of Management

Master of Science in Business Analytics and Information Management

Graduated: May 2022

  • Academic Honors | Merit Scholarship Recipient
  • Technical Coursework: Computational Complexity, Analyzing Unstructured Data, R for Analytics, Data Mining, Advanced Business Analytics, and more
  • Business Coursework: IT Project Management, Customer Analytics, IT Innovation, Change Management, Communication and Persuasion, Operation Management

National Cheng Kung University

Industrial and Information Management

Bachelor of Management Science

Graduated: June 2020

  • Relevant Coursework: Operation Research, Optimization, Inventory Management, Quality Management, Marketing Management
  • Capstone Project – "Assembly line balancing problem - The case study of a shoe manufacturing company"

Recognitions

Publications & Certifications

Awards

  • 2nd place in 2022 Iowa Graduate Business Analytics Case Competition (National)
  • 1st place in 2022 SAS Optimization Challenge (Purdue University)
  • 3rd place in 2022 Kaggle Crossroads Classic Datathon (State Level)
  • 3rd place in Krannert Graduate Student Association Case Competition (Purdue University)
  • 3rd place in STAMINA IT/Analytics Case Competition (Purdue University)

Featured Projects

Apple Watch Analysis
Apple Watch Analysis

Developed a dashboard using R Shiny to visualize and analyze eight months of Apple Watch data on exercise and sleep.

View Dashboard GitHub
R Shiny, Data Visualization
SIL Machine Translation Optimization
Machine Translation Optimization

Designed an algorithm to optimize translation datasets, reducing costs and training time for low-resource languages.

GitHub
Python, Machine Translation
Prediction-Optimization Integration
Prediction-Optimization Integration

Created an AutoML framework for small businesses to integrate predictive and optimization models for performance improvement.

GitHub
Python, AutoML, Optimization
SAS Optimization Challenge
SAS Optimization Challenge

Forecasted water usage and developed optimization models in SAS, securing 1st place in the competition.

Watch Demo GitHub
Python, SAS, Optimization
Video Game Classification
Video Game Classification

Built a model with 88.45% accuracy to classify video game listings on Craigslist, enhancing customer retention.

GitHub
Python, NLP
Phishing Email Detection
Phishing Email Detection

Developed a model achieving 98.53% accuracy in detecting phishing emails, earning 3rd place on Kaggle.

Watch Demo GitHub
Deep Learning, Python
Taiwan Sanoh Database Project
Taiwan Sanoh Database Project

Automated data preprocessing with Excel VBA and designed an ER diagram for business data analysis using MySQL.

View Details (PDF)
Excel VBA, MySQL, Database Design
Heart Disease Classification
Heart Disease Classification

Developed an R Shiny app to predict heart disease risk, making healthcare more accessible to users.

Watch Demo GitHub
R, Data Visualization
Bike Sharing Analysis
Bike Sharing Analysis

Used regression and XGBoost to predict user behavior in bike-sharing systems, providing actionable insights.

View Notebook
Python, Data Science
Credit Card Default Prediction
Credit Card Default Prediction

Built an ensemble model to predict credit card defaults, securing a top 10 position in a Kaggle competition.

View Kaggle
SAS, Machine Learning
Coursera Analysis
Coursera Analysis

Analyzed Coursera data to enhance course enrollments using statistical models like ANOVA and regression.

GitHub
Python, Data Analysis
Bellabeat Case Study
Bellabeat Case Study

Cleaned and analyzed FitBit data to provide insights for Bellabeat's business strategy.

View Kaggle
Python, Data Analytics
Assembly Line Optimization
Assembly Line Optimization

Optimized assembly line layout using Python and Gurobi, improving production efficiency.

View Details (PDF)
Python, Gurobi, Excel VBA
Boosting Recycling in China
Boosting Recycling in China

Led a design thinking project to improve recycling rates in China through cross-cultural collaboration.

View Site
Design Thinking, Environmental Science