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Achievement: Pair ExtraordinaireAchievement: YOLOAchievement: Pull SharkAchievement: Public SponsorAchievement: Quickdraw

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vpoonyak/README.md

Hi, I'm Vitchakorn (Blue) 馃憢

Physician building clinical AI, travel medicine tools, and public health data systems.

Profile Views

I'm a physician and clinical data analyst in Thailand working across travel medicine, public health informatics, clinical AI, and health data governance.

  • Travel Medicine Resident, Institute of Preventive Medicine, Department of Disease Control, Ministry of Public Health, Thailand
  • M.S. Digital and AI Technologies in Health Systems, Chulalongkorn University (graduated)
  • Currently pursuing M.S. Health Care Analytics and Information Technology, Carnegie Mellon University Heinz College
  • Focus: clinical decision support, vaccine registries, surveillance systems, and deployable health tools

Core Toolkit

Languages & data
Python R SQL

Machine learning
Scikit-Learn PyTorch YOLO AutoGluon

GIS & visualization
QGIS Tableau

Cloud & tools
Firebase Google Cloud

GitHub

Vitchakorn Poonyakanok's GitHub vitals

Top Languages

Connect

Portfolio 路 LinkedIn 路 Hugging Face 路 Tableau 路 Email

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  1. BNK48_CGM48_GE4_Analysis BNK48_CGM48_GE4_Analysis Public

    Predictive analysis and modeling of BNK48 & CGM48's 16th Single Election using ML techniques like Random Forest, XGBoost and LightGBM, based on data from @Stats48TH

    Jupyter Notebook 1

  2. countries-with-tiny-vkp countries-with-tiny-vkp Public

    A simplified world shapefile with enhanced representation of tiny countries/sovereigns visualization.

  3. s_epi_complete s_epi_complete Public

    VaxMap Thailand: Analyzing Vaccination Coverage and Hospital Locations

    Jupyter Notebook

  4. thailand-tourism-trend thailand-tourism-trend Public

    Data Analysis for Tourism in Thailand

    Jupyter Notebook

  5. ehmrg-automated_calculator ehmrg-automated_calculator Public

    Automates EHMRG calculations via the MDCalc website

    Jupyter Notebook 1

  6. yellow-fever-malaria-cdc yellow-fever-malaria-cdc Public

    Python script to extract Yellow Fever and Malaria Prevention data from the CDC website and format it.

    Jupyter Notebook