Supaseth Charoensang
Data Analytics Section Manager
Bangkok, Thailand
Summary
👤
Senior🎓
Top SchoolSupaseth Charoensang is a Data Analytics Section Manager based in Bangkok with 11 years of experience turning operational data into actionable insights using Python and Power BI. He specializes in time series forecasting and probabilistic approaches, applying models to drive prediction results and operational dashboards across supply chain environments. At DHL Supply Chain he progressed from Data Analyst to section manager, delivering production-ready forecasts and tailored dashboards that meet dynamic operational needs. A contributor to the popular PyThaiNLP project, he integrated the AttaCut tokenizer and improved the library’s API usage—bringing NLP capabilities to Thai-language data workflows. Comfortable bridging engineering and business, he sources data from MySQL and Excel transformations to inform decision-making. A football fan and self-described probabilistic programming newbie, he combines practical analytics with curiosity for advanced modeling techniques.
11 years of coding experience
3 years of employment as a software developer
Bachelor of Engineering - BE Materials Handling Engineering, Bachelor of Engineering - BE Materials Handling Engineering at King Mongkut's University of Technology North Bangkok
Thai, English
Github Skills (8)
tokenize10
tokenizer10
word-segmentation10
nlp10
nlpjs10
python10
natural-language-processing10
text-processing9
Programming languages (5)
Github contributions (5)
PyThaiNLP/pythainlp
Aug 2019 - Sep 2019
Thai natural language processing in Python
Role in this project:
Back-end Developer
Back-end DeveloperContributions:12 commits, 2 PRs, 8 comments in 3 days
Contributions summary:Supaseth primarily contributed to the `pythainlp` project, a Thai natural language processing library. Their work focused on integrating the AttaCut word segmentation engine, a new feature for tokenization, by adding necessary files and modifying existing ones. Furthermore, the user fixed formatting issues and updated the code to use a high-level API for AttaCut, demonstrating a focus on expanding the library's capabilities and improving code quality.
nlpword-segmentationpythonthai-nlp-librarylanguage-processing
datawowio/automl
Jun 2020 - Dec 2020
Google Brain AutoML
Contributions:11 pushes, 2 branches, 1 tag in 6 months
brainpythondeep-learningmachine-learningautoml
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