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Atefeh Fazel

Atefeh Fazel

Computational scientist and data analyst

Talent
AucklandMember since May 21, 2026
PythonMatlabFortranNumPyPandasData cleaningPreprocessingAutomationAI-assisted researchPrompt engineeringGenerative AI toolsNumerical modellingMultiphysics simulationScientific computingLarge-scale simulationsMatplotlibPower BISQLTechnical reportingData presentationHDF5
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PythonMatlabFortranNumPyPandas

About

Analytical and detail-oriented professional with a strong background in data analysis, research, numerical modelling, and technical problem-solving. Experienced in analysing large datasets, identifying patterns and trends, and using Python and analytical methods to support research, reporting, and decision-making. Skilled in interpreting complex information and communicating insights clearly through practical and well-structured reports.

Collaborative team player with experience working across multidisciplinary environments and adapting to fast-changing projects and priorities. Strong critical thinking and investigative skills, with a passion for continuous learning and applying analytical capabilities to support business and organisational outcomes.

Experience

Research Fellow – Analysis, simulation & Computational Modelling of physical problems at University of Auckland (2025-07 – 2026-03)

  • Processed and analysed large simulation datasets using Python to identify patterns and extract meaningful insights
  • Applied AI-assisted tools and analytical workflows to accelerate technical research, documentation, and problem-solving tasks
  • Communicated technical findings clearly to multidisciplinary research teams

Research Fellow – Data Analysis & Computational Modelling at Victoria University of Wellington, Robinson Research Institute (2021-11 – 2025-06)

  • Developed advanced numerical models generating large datasets for computational analysis
  • Utilised Python and analytical methods to process, interpret, and visualise simulation data
  • Applied mathematical and statistical techniques to evaluate system performance and validate models
  • Automated data-processing workflows, improving efficiency, reproducibility, and analysis speed
  • Integrated AI-assisted approaches to support technical analysis, workflow optimisation, and reporting
  • Collaborated with multidisciplinary teams to interpret results and communicate findings effectively

Research Assistant – Open-Source Scientific Software Development at Victoria University of Wellington, School of Chemical and Physical Sciences (2019-10 – 2021-11)

  • Author and contributor in the development of open-source software for calculation and analysis of physical systems
  • Processed and analysed simulation data using R and Matlab to extract meaningful insights
  • Managed large datasets using HDF5 import/export workflows
  • Contributed to scientific computing workflows and collaborative software development
  • Applied analytical and AI-assisted tools to improve efficiency in data interpretation and technical reporting

Education

PhD in Electrical Engineering - Telecommunications / Optics – K. N.

Toosi

University of Technology, Tehran, Iran (2012 – 2017)

MSc in Electrical Engineering – Communications-Fields – Shiraz University, Shiraz, Iran (2007 – 2010)

BSc in Electrical and Telecommunication Engineering – Shiraz University, Shiraz, Iran (2003 – 2007)

Skills

Computational scientist and data analyst

Reviews

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