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Tennessee Leeuwenburg

Data Science and Emerging Technologies Team Leader @Bureau of Meteorology

Melbourne, AU
MOBILE NUMBERS
+91 *********19

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WORK HISTORY

Oct 2021 — Present

Data Science and Emerging Technologies Team Leader @Bureau of Meteorology

Melbourne, AU

I lead the Data Science and Emerging Technologies team, which undertakes research into machine learning and data science applications in the areas of earth system modelling, site based forecasting and data visualisation. My areas of focus include- Undertaking research into machine learning for weather and environmental prediction- Improving the accuracy of site based forecasting utilising machine learning techniques- Verification and evaluation of weather forecasts- Providing advice, support and uplifting capability in the field of machine learningI maintain the open source package `scores`( see https://scores.readthedocs.io/) which can be used to verify and evaluate models, forecasts or predictions.

EDUCATION

1998 — 2001

University of Melbourne

Bachelor of Computer Science

2003 — 2005

University of Melbourne

Diploma in Arts, Philosophy

2007 — 2011

RMIT University

Master of Business Administration (Executive)

SKILLS

Document ManagementLinuxCProgrammingUnixArtificial IntelligenceJavaRubySoftware DevelopmentPythonApacheWeb ApplicationsStudent SupervisionMachine LearningOpen SourceGitSubversionUbuntuAlgorithmsComputer ScienceHigher EducationShell ScriptingData ScienceObject Oriented DesignSoftware EngineeringAgile MethodologiesManagementJavascriptUmlSoftware DesignBashWeb DevelopmentC++DatabasesOop

ABOUT TENNESSEE LEEUWENBURG

I have over a decade of experience leading teams to deliver projects and outcomes in the areas of data science (including artificial intelligence and machine learning), scientific computing, automation and high performance computing.I maintain the open source package `scores`( see https://scores.readthedocs.io ) which can be used to verify and evaluate models, forecasts or predictions.I maintain the open source package `pyearthtools`(see https://pyearthtools.readthedocs.io ) which can be use to train machine learning models for Earth system science.Professional Skills: Leadership, Strategy, Change Management, Communication, People Management, Financial Management and Budgeting.Technical Specialties: Data Science, Machine Learning, Artificial Intelligence, Scientific Computing, Automation, Text Generation, Natural Language Generation and Continuous Integration.

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