Resume

Interactive Resume

For my interactive resume please go to my Tableau Public profile and see my resume dashboard.

Basic Information

  • E-mail: whittenburydaniel@gmail.com (click on email link above)

  • Residence: Adelaide, South Australia

  • Citizenship: Australian

  • Github: dlwhittenbury (link)

  • Tableau Public: (link)

  • Google Scholar: (link)

  • ResearchGate: (link)

  • LinkedIn: (link)

Computer Skills

  • Languages: Python, SQL, DAX, Fortran, C/C++, Mathematica, and MATLAB.

  • Data Science/Machine Learning packages: Pandas, Scikit-learn, Power BI, Tableau, Numpy, Matplotlib, Seaborn, and others.

  • DBMS: SQL Server, MySQL and SQLite.

  • Platforms: Mac OS, Unix/Linux, and Windows.

  • Other tools: Git/Github, Gnuplot, GSL, IMSL, Numerical Recipes, LaTeX, Markdown, Office Suite and others.

Experience

Working

  • 6/2016–6/2019 University of Adelaide, Post-doctoral researcher.

  • 9/2015–5/2016 University of Adelaide, Research assistant.

  • 2007-2011 Tandys and Dick Smith Electronics, Part Time Sales Person, Modbury, Adelaide.

  • 2005-2006 ELC School, (6 Months), English Language Teacher, Namwon, South Korea.

Volunteer

  • 2004-2005 Glandore Community Centre, English as a second language teacher, Glandore, Adelaide.

Education

Post Graduate

  • 2011-2015 PhD in Theoretical Physics and Astrophysics (Conferred 31 Dec. 2015), University of Adelaide, Adelaide, Australia.

Thesis Title - Hadrons and Quarks in Dense Matter: From Nuclear Matter to Neutron Stars

  • 2008-2009 Masters of Science (Theoretical Physics), University of Adelaide, Adelaide, Australia.

  • 2006-2007 Graduate Diploma in Mathematical Science, University of Adelaide, Adelaide, Australia.

Undergraduate

  • 2001-2005 Bachelor of Science, Flinders University, Adelaide, Australia.

High School

  • 2000 SACE Certificate, Port Augusta High School, Port Augusta, South Australia.

Research (see Publications)

Awards and Prizes

  • 2015 Dean’s commendation for doctoral thesis excellence.

Completed Online Courses

  • Coursera: Machine Learning

  • Udemy: DAX Data Analysis Expressions using Free Tools for Beginners

  • Udemy: Microsoft Power BI - Business Intelligence for Beginners

  • Udemy: The Ultimate MySQL Bootcamp - Go from SQL Beginner to Expert

  • Coursera: Deep Learning Specialization

For more details and links to the above courses please see my github repository.