Meteorologist / Data Scientist · BMKG · Banten, Indonesia
Forecasts, warnings, and decision tools for weather that cannot wait.
Map context. Port detail. One system.
I work at the intersection of meteorology, data, and human decisions. My day job is operational: the forecast has to be accurate, timely, and understandable when conditions change fast.
My research pushes that further — right now it's a sea surface currents model at the Sunda Strait, trained so a warning arrives before the hazard does.
A regional map. A port dashboard. One CUAP system — the port warning system, now operational.
Crossing weather, mapped. Radar, satellite, lightning, sea currents, AIS ship traffic, ports, and stations combined into one regional view of the Sunda and Bali Straits — so the conditions of an entire crossing can be read at a glance.
The port-level view inside CUAP: warning windows, forecaster attribution, current speed and direction, vessel impact and safety, and live weather and ocean readings — a forecaster's judgment, formatted for the people launching the vessel.
Final project for the Machine Learning Developer program (DIGITALENT FGA): an image-classification model trained with Python and TensorFlow, reported accuracy 95%.
I'm a BMKG Meteorologist and STMKG graduate. My day job is operational marine forecasting. Currently in progress: research on a sea surface currents model at the Sunda Strait — where the Java Sea meets the Indian Ocean, and a forecast has to be right before the ferry leaves.
Contact
I'm open to professional questions, technical collaborations, and conversations about operational meteorology and marine data.
dhava.gautama@proton.me ↗