MSc BHI candidate with hands-on experience in health informatics,
telemedicine, and analytical dashboards — turning messy health data into
actionable decisions across Southeast Asia and beyond.
Background, skills, and the story behind the work.
Introduction
Hi — I'm Aung Thura Htoo, a public health practitioner and data analyst based in Thailand. I am currently pursuing an MSc in Biomedical & Health Informatics at Mahidol University.
My work spans health information systems, telemedicine, and interactive data analytics. I've worked in IDP camps and border health settings, and I currently serve as a Health Information System Technical Consultant at Mae Tao Clinic.
I'm skilled in improving data quality, clinical reporting, and decision-making using R, SQL, Power BI, and Looker Studio. I care deeply about applying data science to real-world public health challenges in low-resource and crisis settings.
Skills
R Python SQL Power BI Looker Studio Machine Learning Dashboard Design Health Informatics Statistics Data Analysis
Education
🎓
Master of Science in Biomedical & Health Informatics
Mahidol University, Thailand
2024 — Present
Specialising in health information systems, digital health, and biomedical data analytics.
🎓
Bachelor of Science in Health Science (Bsc HS)
University of the People, USA
2022 — 2024
CGPA 3.78 / 4.00. Focused on public health, epidemiology, and health systems management.
🎓
Bachelor of Medicine, Bachelor of Surgery (MBBS)
University of Medicine, Mandalay, Myanmar
Completed
Foundation in clinical medicine, anatomy, physiology, and public health practice.
Work Experience
💼
Health Information System Technical Consultant
Mae Tao Clinic, Thailand
November 2024 — Present
Designing and improving health information systems in a border health clinic serving migrant and displaced populations on the Thai-Myanmar border.
💼
Chief Health Information Officer & Teleconsultant
FOC Teleclinic
2025
Led health information management and teleconsultation services, improving data quality and clinical reporting for remote patient care.
💼
Freelance Data Analyst
Self-employed
3+ Years
End-to-end data analysis projects for public health and research clients. Specialised in R, Python, SQL, Power BI, and Looker Studio dashboards.
💼
Academic Manager (Medical)
Burma Academy
2022 — 2024
Managed medical education programmes, curriculum development, and academic operations for medical students.
💼
Public Health Practitioner
IDP Camps & Border Areas, Myanmar
2020 — 2022
Delivered public health services in internally displaced persons camps and border health settings under crisis conditions.
Awards & Scholarships
🏆
Full Scholarship — Bachelor of Science in Health Science
University of the People
🏆
Erasmus+ Scholarship — Internship in Germany
University of Bremen
🏆
Postgraduate Mobility Scholarship
Mahidol University
Certificates
📜
Google Data Analytics Certificate
Google · Coursera
📜
Google Advanced Data Analytics Certificate
Google · Coursera
📜
Google Project Management Certificate
Google · Coursera
📜
Health Informatics Certificate
Johns Hopkins University
📜
Associate Data Scientist in R
DataCamp
📜
Data Analyst in R, Python, SQL, Power BI & Tableau
DataCamp
// dashboard.py
Dashboard
Live metrics and monitoring across active projects and systems.
Dashboards
7
↑ Looker Studio & Tableau
ASEAN Countries
10
↑ Covered in health dashboards
WHO Indicators
56
↑ In ASEAN Health Dashboard
Vaccine Types
14
↑ UNICEF ASEAN Coverage
🦠
Live
COVID-19 Analytics Dashboard
Interactive visualization of confirmed cases, recoveries, and deaths across 8 countries from Jan 2020 to Apr 2022. Built with Looker Studio.
Step-by-step data analysis using R and Python — from import to insight.
🧠
Published
Diabetes Classification Using Random Forest
Classification of diabetes using random forest in R. Explores the interplay between lifestyle factors and diabetes risk. Includes feature importance analysis.
Data cleaning and analysis of 23,651 Bangkok Airbnb listings using R. Explores room types, short vs long-term rentals, hosts, and neighborhood pricing.
Classification of maternal health risk using random forest and logistic regression in R. Addresses a critical global public health challenge in low-resource settings.
Logistic regression model to identify predictors of heart disease. Uses stepwise, forward, and backward variable selection. Evaluates via confusion matrix. (DataCamp)
R-based exploration of inpatient and ICU utilization during the pandemic. Dataset from U.S. Dept. of Health & Human Services — 1,045,406 observations, 128 variables.
Python visualization of 14 vaccine coverage types across 10 ASEAN countries (2000–2023). Data pivoted from long to wide format; visualized using Seaborn.
Intermediate R analysis of WHO health statistics across four datasets. Identifies ASEAN health indicators using custom functions and intermediate R techniques.
Peer-reviewed publications in public health, tropical diseases, and digital health.
📄
Published
Bacteriologic Profile and Antimicrobial Susceptibility of Chronic Suppurative Otitis Media
International Journal of Microbiology, Mycology & Tropical Diseases. Analyzes bacteriologic profile and antimicrobial susceptibility patterns of CSOM in Mandalay, Myanmar.
Health Information Systems in Border & Crisis Settings
Ongoing work from experience at Mae Tao Clinic and IDP camps — examining HIS implementation, data quality, and digital health interventions in low-resource environments.
HISDigital HealthCrisis Settings
Reading
Books
Books that shaped how I think about health, data, and the world.
Epidemiology & Health Informatics
📕
Essentials of Epidemiology in Public Health 4th ed.
Ann Aschengrau & George R. Seage III
EpidemiologyPublic Health
A rigorous and accessible foundation for epidemiologic thinking — study design, bias, confounding, and causal inference all covered with clarity.
📘
Health Information Systems: Architectures and Strategies 2nd ed.
Alfred Winter
Health InformaticsHIS Architecture
A systematic framework for understanding how health information systems are designed and governed — essential reading for HIS work in any setting.
📗
Problem-Oriented Medical Record in Electronic Healthcare System
Gheun-Ho Kim
EHRClinical Informatics
Bridges clinical documentation logic with electronic system design — deeply relevant to how structured medical records function in real-world HIS implementations.
Statistics & Machine Learning
📙
The StatQuest Illustrated Guide to Machine Learning
Josh Starmer
Machine LearningStatistics
Starmer has a rare talent for making complex ML concepts genuinely intuitive. The visual approach makes this one of the most accessible ML books I've encountered.
📘
Intuitive Biostatistics 4th ed.
Harvey Motulsky
BiostatisticsResearch Methods
The ideal biostatistics reference for health researchers — prioritises conceptual understanding over formulas, making it invaluable for interpreting medical literature.
📖
Naked Statistics
Charles Wheelan
StatisticsData Literacy
A witty, demystifying tour through statistics that reinforces why quantitative reasoning matters — great for building intuition before diving into heavier methodology texts.