About

Hydrometeorologist and Data Scientist • Developed water quality and quantity forecasting model for Great Barrier Reef catchments • Experience in working with Radar, Satellite and NWP QPFs (ACCESS, ECMWF etc.) • Strong skills in model calibration, validation, retrospective forecast verification and foresting services • Developed robust scripts to calculate different deterministic, probabilistic & ensemble forecast verification metrics related to now casting and forecasting of radar & NWP QPFs, water quality concentration and streamflow • Experience in working with statistical post processing of NWP QPFs and ensemble forecasting • Outstanding skills in Data Science and computer programming languages • Strong skills in data mining, machine learning, statistical and probabilistic analysis • Fine-tuned research and analysis skills working through large volumes of data (radar, satellite, NWP QPFs, streamflow and water quality constituents) • Developed scripts to generate reports for "now casting " of severe events • Strong skill in preparing different metrics visualisation plots and animation • Able to liaise effectively with scientific, technical and non-technical groups. • IBM certified Data Scientist

Career Type:

Scientist/Researcher/Academic

Organization Type:

Governments and Public Utilities

Expertise Fields/Interests:

Major Achievements: