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State:
NSW
University:
University of Sydney
Status:
Domestic Student
Discipline:
Engineering, IT, Mathematics and Statistics
Research Specialty:
Applied Mathematics, Econometrics, Financial Education, Machine Learning or Tensorflow Experience, Programming, Risk Management

Rangika’s research interests include financial risk forecasting, machine learning, and Bayesian methods. She is skilled in Python, Matlab, SPSS, Eviews and statistical modeling techniques. Rangika is eager to apply her expertise in business analytics, data analysis, quantitative analysis and financial risk prediction to real-world challenges through an internship opportunity in the industry.

For more information, please contact one of our APR.Intern Business Development Managers: