Noppadol Assavakamhaenghan

Noppadol Assavakamhaenghan

Data Scientist

Biography

I am currently a data scientist at AIA Thailand. My areas of interest are Machine learning and Data Mining. I experienced working in various data mining projects by using Python. I am eager to learn new knowledge and love to find a better solution to a problem. In addition, I am interested in finding new experiences and working with people in a cross-cultural team.

Download my resumé.

Interests
  • Data Science
  • Machine Learning
  • Software Engineering
Education
  • M.E. in Information Science, 2020 - 2022

    Nara Institute of Science and Technology (Received a Monbukagakusho Scholarship) GPAX:3.50/4.00

  • B.S. in Information and Communication Technology, 2016 - 2020

    Mahidol University (Graduated with First-class honours) GPAX:3.90/4.00

Experience

 
 
 
 
 
AIA Thailand
Data Scientist - Data Science
Nov. 2022 – Present Bangkok, Thailand
 
 
 
 
 
SenseTime Japan Ltd.
Data Analyst Intern - Evaluation System
Apr. 2022 – Jun. 2022 Kyoto, Japan
  • Researched and developed an evaluation system for the image recognition model.
  • Analyzed and identified how to improve the performance of the existing image recognition model.
  • Proposed and developed an automatic evaluation service for comparing the performance of the image recognition model using Python with Docker and GitLab.
  • Utilized Scrum with a team of 7 developers to develop the service and present it to the client.
  • My evaluation service reduced the time it takes for model performance improvement.
 
 
 
 
 
Nara Institute of Science and Technology
Research Assistant - Chatbot
Feb. 2021 – Jun. 2022 Nara, Japan
  • Implemented machine learning for text classification using TensorFlow.
  • Designed and Implemented the infrastructure of the Chatbot system.
  • Led the team of 4 graduate students in this project.
  • Contributed to integrating the Chatbot system to Google Home.
 
 
 
 
 
Nara Institute of Science and Technology
International Research Internship Student - Software Engieering Laboratory
Jun. 2019 – Aug. 2019 Nara, Japan
  • Collected software development process data from JIRA issue Tracker API.
  • Managed data using MySQL.
  • Performed analysis of the collected data and created visualizations.
  • This work was published as “Software Team Member Configurations: A Study of Team Effectiveness in Moodle” in IWESEP2019.

Recent Publications

(2023). Does the First-Response Matter for Future Contributions? A Study of First Contributions. In EMSE.

Cite Code Project DOI

(2022). Quantifying effectiveness of team recommendation for collaborative software development. In AUSE.

Cite Code Project DOI

Contact