Aung Chan Nyein AungCN

Hi, I'm Aung Chan Nyein

I am a holder of Master of Science in Data Science (GPA 4.00/4.00) from Batangas State University, TNEU, the Philippines as a DISP Scholarship Awardee.
🔬 My thesis research focuses on A Hybrid Framework for Morbidity-Driven Health Commodity Forecasting in Emergency Response.
I specialize in epidemiological time series forecasting, employing advanced data imputation architectures (like the attention-based SAITS mechanism) and recurrent neural networks (such as Bi-LSTM).
I actively benchmark optimization algorithms, specifically Particle Swarm Optimization (PSO), to enhance deep learning model accuracy in public health predictions.
I bring a decade of professional experience (2016–present) in health system strengthening especially for information systems, financing, and strategic purchasing across Myanmar.
I convert complex quantitative and qualitative data into actionable insights for government ministries, UN agencies, and implementing partners.
I am currently based in Batangas City, Philippines, and am open to Southeast Asia or remote roles.

Technical Specialist (eLMIS) @ Zenith Technical Resource Initiative: Leading data collection, collation, and quality assurance for LMIS/eLMIS systems across government and non-government health programs.
Capacity Building: Extensive experience facilitating TOT workshops, developing learning modules, and managing dispersed M&E teams.
System Optimization: Designed data-collection forms and reporting formats integrating demographic, morbidity, and service data across 170+ entry points.