Reta Lilyananda Puspasari
Data-driven modeler with over 10 years of expertise in predictive analytics, specializing in developing Artificial Intelligence (AI) models and Early Warning Systems for climate, contamination, disease outbreaks, and natural disasters.
AI x Environmental
Passionate about using AI to solve real-world challenges
Advocate for sustainable tech solutions and data-driven decision-making
Creating harmony between people, nature, and technology
Experience
Engineer to Data Scientist: AI for Environmental Issues
Environmental Data Scientist
I learned AI during my study in Korea, using them to do environmental data analysis and publish two peer-reviewed papers. If you’re looking to learn AI and apply it to your field, you can contact me! Now, I am working for the REWRITE Project at Nantes Université. Click to learn more.
Data Stewardship
This is not how I started, but this is how I roll! My new passion is to FAIR-ify data and ensure GDPR compliance, and support Open Science! Additionally, I streamlined workflows by automating metadata generation, reducing manual work, supporting data accessibility for research and sustainability.
AI x Environmental
My expertise spans hydrology, climate risk assessment, and AI predictive modeling. From developing Early Warning Systems for natural disasters to implementing AI models for cimate predictions; using complex environmental data to find actionable tools for sustainable decision-making and resilience planning.
If you’re interested in the details of my work experience, check out the accordion table below.
Data Steward
- Implemented data governance policies that ensured compliance with FAIR principles and GDPR, resulting in zero data breaches over 11 months period and establishing trust among partners
- Maintained exceptional service levels with a consistent 99.1% uptime across REWRITE Cloud and OpenProject platforms by promptly addressing system failures within the timeframe of approximately 15 minutes on average
- Developed an AI model using machine learning algorithm, achieving 80% accuracy in predicting sea water level and surface water temperature by analyzing 300+ years of oceanographic data
- Data gathering, literature review and future data generation for Loire site of REWRITE
- Implemented an automated metadata generation system using R on 50GB of data, directly attaching metadata to files in the cloud and reducing manual creation time by 8 hours per week
Research Assistant
- Collaborated with the World Health Organization WHO and the IERI project on data integration, improving predictive modeling accuracy by 30% to forecast future dengue fever outbreaks in Laos by analyzing clinical, epidemiological and climate data
- Led research on future flood prediction in Indonesia, publishing a peer-reviewed journal paper by developing a machine learning model with 90% accuracy, Early Warning System EWS and deploying a user-friendly forecasting website
- Managed end-to-end data pipeline, including data crawling, data pre-processing and visualization, data analysis, built ML model, developed and deployed a clean and user-friendly website, writing, proofreading, poster design
- Researched heavy metal contamination and applied AI models to predict future contamination trends, contributing to a peer reviewed publication
Hydrologist
- Experienced engineer in hydrological and hydraulics analysis, including site investigation
- Data collection, data analysis, surface water analysis, rainfall and flood modelling, surface water management plan, infrastructure sizing, infiltration model and water balance model
- Modeling and visualization of river and pond using XPSWMM and Hec-RAS0.
Skills
Languages
English: Proficient
Korean: Intermediate
French: Upper-intermediate
Indonesian: Native
Education
Master of Science
Gwangju Institute of Science and Technology (GIST)
South korea
Bachelor of Engineering
Brawijaya University (UB)
INDONESIA
Data and Publications
Environmental Data Scientist at REWRITE EU
Sea surface Temperature (SST) & Sea Water Level (SWL) Prediction of Loire Estuary and Bourgneuf Bay
Data Steward at REWRITE EU
Data Management Plan (DMP), Internal Documentations.
Internal use, not open/available.
Research Assistant at GIST
Machine Learning for Flood Prediction in Indonesia: Providing Online Access for Disaster Management Control
Research Assistant at GIST collaboration with WHO
Integration of Health and Climatic Data for Disease Prediction Laos: A Pilot Study
Sensitive and private data, protected and not open.
Research Assistant at GIST
Predicting As Contamination Risk in Red River Delta Using Machine Learning Algorithms
Research Assistant at GIST
Environmental Forensics: Identifying the Cause of Fish Kill (Zacco platypus) and Proposing Mitigation Measures of the Yeongsan River Basin, South Korea
Final Research at Brawijaya University
Study of the Physical Properties of Soils on Infiltration Rate Characteristics
Personal Life
I make silly games just for fun, when I have free time like on weekend or holiday, I did all the artwork, game design and game play. Check out my silly game :
I also love sharing about my experience as woman in STEM and promote careers in Environmental Engineering and Water Resources Engineering.
