Reta Lily

Recently graduated with MS in Environmental Engineering from GIST (Korea). Experienced research assistant with 1.5 years of developing data-driven model using machine learning algorithm (Python and R). Involved in WHO and Amogreentech projects.

Previously worked as a hydrologist with 3 years of experience in multinational consulting company (Golder/WSP Group), which implemented physical-based meteorological model in rainfall modeling, flood modeling and water balance. Expert level proficiency in XPSWMM, HEC-RAS, AutoCAD.

One year of paid guest speaker experience for promoting Water and Environmental Engineering for Civil Engineering Students.

Seeking opportunities in environmental consulting.

I am currently in my last semester of a Master of Science in Environmental Engineering major at the Gwangju Institute of Science and Technology Korea, in which I have particular affinity for data analysis and machine learning.

I was previously involved in WHO project entitled “Integration of health and climatic data for disease prediction Laos: a pilot study”. I have also contributed to “Predicting Arsenic Contamination Risk in Red River Delta Using Machine Learning Algorithms” paper publication. My background is a Bachelor of Civil Engineering specified Water Resources Engineering as well as 3 years of experience as a hydrologist in a renown Canadian consulting company in Jakarta.

I have developed interest in Artificial Intelligent (AI) especially Machine Learning (ML) since my internship program at the EIRI-GIST with the project of “Groundwater Contamination Prediction using ML in Indonesia”. I am also in a research assistant position at the Soil Environmental Laboratory (SEL), with my latest project “ML for flood risk prediction in Indonesia: providing online access for disaster management control”.