Harshna Gounder
Griffith University
Discipline(s):
  • Science
Graduation date:
Degree level:
Bachelor
University Of Southern Queensland
Discipline(s):
  • Computer science
  • Mathematics
  • Statistics
  • Science
Graduation date:
Degree level:
Postgraduate Diploma
University Of Southern Queensland
Discipline(s):
  • Mathematics
  • Statistics
  • Science
  • Environment
  • Agriculture
  • Computer science
  • Research and development
Graduation date:
Degree level:
Masters
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Personal Statement

I am very interested in Mathematics, Artificial Intelligence and Machine Learning (Predictive Modelling), Data Science/Big Data, Analytics and all sciences including Biology, Physics and Chemistry. Main interests in these sciences of mine include: Renewable Energy and Bioresources, Climate Change, Agriculture, Coral Bleaching, Cancer studies, Health Science, Astrophysics, Radiology, Pharmaceuticals. I am overall very interested in STEM (Science, Technology, Engineering and Mathematics). I am very interested in finding patterns which leads to conclusions and predictions and am very passionate about all sciences. I am very hard working and believe that learning never stops

Biography

Work Rights:
Australian Citizen
Languages:
  • English
  • Hindi

Employment

  • Information Analyst at Auto & General

    Working with Big Data for insurance claims performing analytics and reporting providing business solutions, insights and analyses to Managers, the Director and CEO.

  • Private Tutor at Private Tutor

    Tutored: • Year 11 Mathematics A, Biology and Chemistry • Primary School Mathematics, English and NAPLAN

Achievements

  • Scholarship Recipient - ReDTrain Summer Research Scholarship

    Detail: I was awarded the ReDTrain Summer Research Scholarship by USQ Division of Research and Innovation. This research scholarship provides the opportunity to develop research skills by assisting an academic staff member on a research project during the summer period. I performed research for 3 months (during the summer holidays) in Machine Learning (Artificial Intelligence) within the Environmental Modelling and Simulation Group at USQ. The topic of the research is "Predictive Modelling and Applications in Bio-physical Area with Data-intelligent Algorithms" using a high performing optimised version of the Multilayer Perceptron (MLP) integrated with the Firefly Algorithm (FFA) to predict and model available Photosynthetic Active Radiation (PAR). ReDTrain refers to Researcher Development and Training at my University (USQ). PAR modelling has applications to algae as a renewable biofuel, renewable solar energy, climate change, coral bleaching and agriculture/food security.

Skills

  • Artificial Intelligence

  • Machine Learning

  • Predictive Modelling

  • Data Science

  • Big Data

  • Mathematics

  • Statistics

  • Analytics

  • Research and Development

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