About
Hi my name is Shawn, or Chung En, and I am a graduate student in Applied data Science at USC. During my undergraduate at UCSD, I had the opportunity to intern at Oracle as a Data product manger, and I was amazed by how the data can enable infinite possibilities for companies through Artificial intelligence. Currently I am working as a graduate Data Science research assistant working on uncovering biomarkers from retinal images to assess risk of cardiovascular disease. I am very interested in learning the tools and tech to collect data that enable different stakeholders to advances their products and service, especially in the medical field.
Chung En Pan
- Birthday: 1999, July, 16
- Region: Los Angeles, California, United States
- Phone: +1 626-247-0099
- Email: shawn0880716@gmail.com
School
Programming Languages
Skills & Tools
- Firebase
- DynamoDB
- MongoDB
- PySpark
- PyTorch
- TensorFlow
- ScikitLearn
- LangChain
- HuggingFace
- NLTK
- AWS EC2
- D3.js
- Matplotlib
- Seaborn
- Apache Spark
- SQLAlchemy
- Kanban
Certification
Resume
Summary
Chung En Pan
Innovative and data-driven data scientist with abundant experience devoting to provide and develop business solution with artificial intelligence
- Los Angeles, CA
- +1 626-247-0099
- shawn0880716@gmail.com
Education
Masters of Science - Applied Data Science
2023 - 2025
University of Southern California
- GPA: 3.67
- Course Work: Recommendation Systems, Distributed Computing, Data Mining, Data Science Professional Practicum, Data Management, Machine Learning for Data Science
Bachelors of Science - Data Science
2020 - 2023
University of California San Diego
- GPA: 3.72
- Course Work: Advanced Data Structures, Deep Learning, Systems for Scalable Analytics, Statistical Inference, Data Science in Practice, Theoretical Foundation of Data Science, Business Analytics, Modeling & Data Analysis
Associates of Science - Computer Science
2017 - 2020
Pasadena City college, Pasadena, CA
- GPA: 3.90
- Course Work: Data Structures & Algorithms, Linear Algebra, Multivariable Calculus
Professional Experience
Graduate Data Science Research Assistant
2024/04 - Present
University of Southern California, Los Angeles, CA
- Developed deep learning in ocular imaging using computer vision techniques to predict cardiovascular disease risk with 93% accuracy by uncovering ocular biomarkers and non-invasively extracting related risk factors from retinal fundus images.
- Applied Convolutional Neural Network (CNN) and Grad-CAM attention map to identify ocular biomarkers correlating to diseases using PyTorch.
- Implemented ETL (Extract, Transform, Load) processes using distributed processing frameworks such as Apache Spark for analyzing large-scale ocular image datasets.
- Collaborated with professors and researchers to enhance the accuracy and applicability of findings.
Product Manager Intern
2022/06 - 2022/09
Oracle NetSuite, Redwood City, CA
- Designed and implemented a user story relating to telemetry feature support on the SuiteCloud Development Framework.
- Spearheaded the implementation of a SaaS telemetry system to enhance observability and monitoring, providing valuable insights to various internal stakeholders.
- Formulated innovative solutions through paper prototypes and architectural design, enabling system administrators to monitor security and performance of applications.
- Facilitated design-thinking activities in collaboration of 8 to enhance developer experience.
Statistic Teacher Assistant
2019/06 - 2019/08
Pasadena City College, Pasadena, CA
- Conducted thorough evaluations of student homework and assigned accurate grades for a variety of assessments, including quizzes, exams, and homework assignments.
- Managed students' academic records and performance using Canvas, ensuring all student profiles, coursework, grades, and assignment solutions were properly organized and up to date.
- Provided personalized guidance and support to students by answering their questions on course material and assignments and offering constructive feedback to help them improve their understanding and performance.
