Sungchul Choi
Full Professor at Pukyong National University
Gyeonggi, South Korea
Summary
👤
Senior🎓
Top SchoolSungchul Choi is a data-driven engineering professor and technology strategist with 11 years of academic and industry experience, currently a Full Professor at Pukyong National University and CEO of teamreboott Inc. He holds a Ph.D. in Data Mining from POSTECH and blends deep learning–based text analytics with strategic technology planning, a skill honed during his time in Samsung’s CTO Office. His research and practical work focus on mining large-scale text to map technological trends, and his GitHub contributions include news categorization pipelines using cosine similarity and text preprocessing. Comfortable moving between R&D management and hands-on data science, he brings both academic rigor and product-minded execution to technology forecasting. An underappreciated strength is his track record of translating research-grade methods into usable tools for organizational decision-making.
11 years of coding experience
12 years of employment as a software developer
Ph.D, Data Mining for Scientific Data, Ph.D, Data Mining for Scientific Data at Pohang University of Science and TechnologyBachelor of Engineering (B.E.), Management Information Systems, General, Bachelor of Engineering (B.E.), Management Information Systems, General at Handong Global University
Korean, English
Github Skills (6)
cosine-similarity10
machine-learning10
python10
text-analysis10
numpy10
pandas5
Programming languages (7)
Github contributions (5)
TEAMLAB-Lecture/AI-python-connect
Jan 2018 - Apr 2019
Role in this project:
Data Scientist
Data ScientistContributions:17 commits, 2 PRs, 4 pushes in 1 year 3 months
Contributions summary:Sungchul primarily worked on code related to news categorization using machine learning techniques. Their contributions include implementing data loading and preprocessing steps, such as file reading and cleaning, and building a cosine similarity model to categorize news articles. The code also encompasses the development of a corpus dictionary, count vectorization, and the calculation of similarity scores, showcasing a focus on text analysis and classification. The user also modified the linear algebra examples.
TEAMLAB-Lecture/deep_nlp_101
May 2017 - Dec 2018
Contributions:63 commits, 33 pushes, 1 branch in 1 year 6 months
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.