Raphael Chin.
Web Developer, Data Scientist, Researcher.
About Me
Hello! My name is Jeong Hin Chin, and I am currently pursuing my Master of Science in Information Science (Data Science) at the University of Michigan. I completed my Bachelor of Science with a triple major in Honors Data Science, Honors Asian Studies (Chinese), and Statistics from the same institution in April 2023.
I am passionate about data science, machine learning, and human-computer interaction. My academic and professional journey has provided me with extensive experience in teaching, research, and leadership. Currently, I serve as a Graduate Student Instructor for the Information Analytics Project course (SI 405 & SI 485) at the University of Michigan, where I guide students in applying their analytical skills to real-world projects.
Over the years, I have worked as a Research Associate with esteemed professors and labs, such as Prof. Rahul Ladhania’s group and Tandem Lab, contributing to significant projects that span topics like cognitive diagnosis models, health interventions in India, vaccine hesitancy in Indonesia, and team dynamics in educational settings. My research work has resulted in numerous publications in journals and conferences, demonstrating my commitment to advancing knowledge in data science and education.
In addition to my research and teaching experience, I have completed internships at organizations such as American Airlines, where I performed advanced data analysis and developed algorithms for guest pass pricing optimization and guest pass demand forecasting. I also worked as a Robotic Process Automation Intern at the University of Michigan’s Shared Services Center, where I developed automation solutions that saved over 1,500 employee hours annually.
Beyond my professional work, I am an active leader and volunteer. I am a founding member and treasurer of Buddhism at the University of Michigan and have held leadership positions in the Malaysian Students' Association. I also led efforts to help local businesses go online during the COVID-19 pandemic by building free websites and offering technical support.
I am proficient in various programming languages, including Python, R, C++, and SQL, and have experience with technologies such as PyTorch, Scikit-learn, Automation 360, and cloud computing. My passion for technology is matched by my interest in languages—I am fluent in Malay, Mandarin, and English, and conversational in Japanese, Hokkien, Hakka, and Cantonese.
When I’m not working on my latest project or research, you can find me mentoring students, exploring new technologies, or learning about different cultures and culinary arts. I look forward to collaborating with others and continuing to explore the intersection of data science, education, and human connection.
My Skills
Web Development
C++
R
Python
SQL
AI
Research
Conference Papers
-
Ladhania, R., & Chin, J.H., & Govindarajan, R., & Prakash, B., & Padman, R. (2024). Examining Gameplay Patterns and their Association with Nutritional Knowledge. IEEE CoG 2024. https://doi.org/10.1109/CoG60054.2024.10645572
-
Ladhania, R., Chin, J.H., Govindarajan, R., Prakash, B., & Padman, R. (2024). Effect of AI-enabled School-Based Mobile Health Game Play on Health Knowledge. CHITA 2024. [HEALTH IT in ACTION Award]
-
Chin, J. H., & Ouyang, J., & Fowler, R., & Xu, G., & Matz, R. L. (2023). Predicting Team Function Using Bayesian and Cognitive Diagnostic Modeling Approaches. Annual Conference of the American Society for Engineering Education. https://doi.org/10.18260/1-2--43937
-
Chin, J. H., & Li, H., & Fowler, R. (2021). Proof of Concept: An Algorithm for Consideration of Students’ Personalities in Team Formation. 2021 ASEE Virtual Annual Conference Content Access. https://peer.asee.org/37618
Journal Papers
-
Chin, J. H. (2024). Evaluation of CDM and RBM Methods to Estimate Small Q-matrices. University of Michigan Undergraduate Research Journal, 17. https://doi.org/10.3998/umurj.5506
-
Chin, J. H. (2021). Exploring Quietness in Teams with Bootstrap Analysis. University of Michigan Undergraduate Research Journal, 15. https://doi.org/10.3998/umurj.1333
Honors Theses
-
Chin, J. H. (2023). Using Prediction, Clustering, and Diagnostic Models to Improve Teamwork in First-Year Engineering Courses. Honors Thesis, University of Michigan. https://dx.doi.org/10.7302/21604
-
Chin, J. H. (2023). Malaysian Chinese Funeral Rituals: A Study of Special Rituals for Unnatural Death. Honors Thesis, University of Michigan. https://dx.doi.org/10.7302/21603
Work In Progress
-
Ladhania, R., Chin, J.H., & Padman, R. Game-Based Mobile Interventions Aimed at School Children for Nutrition Knowledge and Behavior Change: a Scoping Review.
-
Chin, J.H., Ladhania, R., Wagner, A., & Koumpias, A. Using Machine Learning Models to Understand Vaccine Hesitancy in Aceh, Indonesia.
-
Chin, J.H. Personalized Game-Based Learning: Exploring the Impact of Gameplay Patterns on Educational Outcomes Using Machine Learning Models and Cognitive Diagnostic Models.
Projects
Data Visualization
Software
Machine Learning
-
Vaccination rate in Aceh, Indonesia (Ongoing)
-
Serious Gaming in India (Ongoing)
-
Using Cognitive Diagnostic Modeling in Engineering Education
-
Clustering Algorithm Based on Students’ Personalities in Team Formation
Deep Learning
Computational Statistics
Voluntary Work
"Local Business Going Online" Program
Due to COVID-19, many people realize the importance of e-commerce. By giving your business a website, it makes the job of promoting it online easier. Nonetheless, some people don't have the time to create their website or own the skill to do so. Thus, "Local Business Going Online" is a voluntary program to help these owners to create their basic websites for FREE, so that they can promote their businesses easily online.
Volunteer
Projects Done
Owners Helped
Projects Remaining
Are you a small business owner who needs a website for your business? If so, Contact Me
Contact Me
Ann Arbor, U.S. / Kulim, M'sia
Email: jeonghinbusiness@gmail.com
Let's get in touch. Send me a message: