Resume
Information
Hsu, Yao-Chih
Data Analyst and Secondary School Teacher
- Website: https://yao-chih.netlify.app/en
- Linkedin: https://www.linkedin.com/in/yao-chih
- GitHub: https://github.com/Josh-test-lab
- Email: yaochihh@gmail.com
About Myself
I am a proactive and diligent individual who is eager to learn and enjoys exploring new things. I always strive to broaden my horizons and enrich my personal experiences. I earned a Master’s degree in Statistics from the Department of Applied Mathematics at National Dong Hwa University, with research interests in neural networks, machine learning, and time series analysis.
My master’s research focuses on time series forecasting and spatial interpolation. I utilize neural networks to model high-dimensional data, extract meaningful features, and improve forecasting performance. Furthermore, by incorporating spatial relationships among locations, I develop interpolation methods to estimate values at unobserved locations, addressing data gaps caused by sensor failures or other factors.
Education is a lifelong endeavor and a key process in inspiring wisdom and curiosity. I aspire to transform my knowledge and expertise into simple and engaging lessons, helping students discover that “science is everywhere in daily life” and encouraging their motivation to learn. Mathematics may seem challenging to many students; however, by building a strong foundation from fundamental concepts and gradually connecting mathematical theories with real-world applications, mathematics can become more than a collection of abstract formulas. Instead, it can serve as a key to unlocking the world and a powerful tool for solving problems.
Autobiography
Please visit Autobiography.
Work Experience
2025.02 - 2026.06 📍 Hualien Shou Feng Junior High School
- Part-time mathematics teacher
2023.09- 2026.06 📍 Hualien Shou Feng Junior High School
- Remedial education teacher
2024.02 - 2026.07 📍 National Dong Hwa University
- Research assistant
- Time series and spatial research
- Missing data imputation research
- Operations data analysis assistant
2023.09 - 2025.01 📍 Hualien Shou Feng Junior High School
- County after-school tutoring
2023.09 - 2024.01 📍 Hualien Shou Feng Junior High School
- Weekend tutoring and teaching
2023.08 - 2024.01 📍 Hualien Shou Feng Junior High School
- Secondary school education internship
- Integrate logical reasoning and mathematical knowledge into the classroom
- Administrative school work
- Guided and mentored students in participating in student research competitions (小論文競賽), invention exhibitions (發明展競賽), and information technology education competitions (資訊教育競賽)
Education
2024 - 2026 🎓 National Dong Hwa University
Master of Statistics, Department of Applied Mathematics
Studying time series and machine learning, exploring areas of collaboration and integration between the two fields. Actively participating in academic conferences such as the Southern Taiwan Statistical Conference and Applied Probability Seminar to broaden knowledge.
2021 - 2023 🎓 National Dong Hwa University
Completed the Secondary Teacher Education Program
Learning and applying educational theories, discovering the differences between real-world teaching and textbooks, and identifying the best practices for applying theory to practice.
2019 - 2023 🎓 National Dong Hwa University
Bachelor of Statistics, Department of Applied Mathematics
Actively learning various theoretical knowledge and independently studying basic neural network structures and advanced programming language syntax.
Projects
| Project Name | Notes | Link |
|---|---|---|
| Spatiotemporal Prediction of Unknown Areas Based on Structured State Space Diffusion and Resolution Adaptive Fixed Rank Kriging | Master’s Thesis | |
autoFRK R Package Rewritten in Python | Package | |
| Logistics Management | Commissioned Team Project Research | |
| 2024 Joint Conference of University Administrators for Teacher Education | Commissioned to Assist in Organizing | |
| 2024 Hualien County Cat Cup Scratch Animation and Interactive Game Competition | Instructor | |
| Parking model for the parking lot in Zhixue station, Taiwan Railways | Master’s Course | |
| 2023 Hualien County Dreams Take Flight - 10th Exhibition for Young Inventors | Instructor | |
| 2023 Hualien County Pacific Cup National Student Research & Community Action Research Competition | Intern / Co-Instructor | |
| The Analysis of Characters in Dream of the Red Chamber | Bachelor’s Research Project | |
| Image Recognition Using Convolutional Neural Networks (CNN) | Python | |
| Personal Website | This Site |
Please also refer to my Portfolio.
Individual Traits
Attention to Detail: Skilled at uncovering details and noticing aspects that others may overlook. In the field of data science, able to gain unique insights through in-depth analysis of data; in student education, able to provide tailored guidance and support based on individual student needs.
Logical Reasoning: Possess rigorous logical thinking, able to clearly outline the context of problems. By analyzing the cause and effect of events, I can identify the most suitable solutions in different situations.
Responsibility: Maintain a high sense of responsibility for tasks and personal actions, dedicated to doing everything to perfection.
Team Collaboration: Proficient at collaborating with team members and completing tasks quickly and efficiently. In data science, I can enhance research efficiency and assist in solving problems when needed; in student education, I can promptly report issues and actively participate in resolving them, ensuring students have a good learning environment and campus life.
Expertise
Mathematical Logic: Applying mathematical, probability, and statistical knowledge to analyze and solve problems through rigorous thinking and reasoning.
Data Processing: Organizing and analyzing collected data, summarizing and drawing conclusions from existing information.
Programming: Utilizing programming languages such as Python and R to design and develop mathematical and statistical programs that assist in computation, aiding data analysis and model construction.
Student Education: Completed the secondary education program and have teacher certificate, providing better support for students and addressing learning-related issues in educational settings.
Keep Learning
Machine Learning: Continuously improving machine learning techniques. Mastering advanced methods like deep learning and reinforcement learning, and applying them to data analysis and predictive model construction.
Time Series: Studying models like ARIMA, LSTM, and $SSSD^{S4}$, and applying them to forecasting in fields such as land and air environments, finance, and transportation.
Spatial Models: Exploring the application of time series techniques in high-dimensional spaces, researching forecasting methods for spatial models to improve the accuracy of spatiotemporal data analysis.
Missing Data Imputation: Delving into various methods for handling missing data, combining machine learning with interpolation techniques from time series to enhance the completeness of missing data.
Document & Presentation Skills: Proficient in Microsoft Word, PowerPoint, and Excel, as well as LaTeX, Canva, Notion, and Padlet.
Future Outlook
Artificial intelligence and machine learning are at the core of today’s technological development. Even the smallest models carry profound mathematical theories. I strive to maintain a hands-on approach between theory and practical problems, continuously improving my abilities through ongoing and lifelong learning. Whether in the field of data science or in student education, I aim to improve and propose innovative methods by learning and deeply understanding the essence of various models, rather than solely relying on artificial intelligence and neglecting logical reasoning abilities.
I aspire to provide unique solutions to academia, industry, and education, sparking creativity in the field of data science and generating results with practical value across different sectors.
