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Data Scientist ( Machine Learning, Computer Vision, Medical, Mining, Supply Chain)
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Machine Learning Researcher and Developer
University of Adelaide
Doctor of Philosophy (Ph.D.), Computer Science
January 1, 2013 – January 1, 2016
Faculty of Instrumentation , Don State Technical University
Master's degree, Biomedical/Medical Engineering
January 1, 2009 – January 1, 2011
Fortescue
Senior Data Scientist
July 1, 2024 – Present
Perth, Western Australia, Australia · On-site
Advanced Human Imaging
Senior Scientist (Machine Learning and Computer Vision)
July 1, 2017 – July 1, 2024
South Perth, Western Australia, Australia
The University of British Columbia
Postdoctoral Research Fellow
November 1, 2016 – July 1, 2017
Greater Vancouver Metropolitan Area
The University of Adelaide
PhD Candidate
February 1, 2013 – August 1, 2016
ACVT, School of Computer Science, North Terrace, Adelaide
Kathmandu University
Lecturer
September 1, 2011 – December 1, 2012
School of Electrical and Electronics Engineering
Cultural Fit Analysis
The candidate's background is heavily skewed towards academic research and senior scientist roles focused on Machine Learning and Computer Vision. While these skills are valuable, the target role of 'Data Analyst' typically emphasizes data manipulation, reporting, business intelligence, and statistical analysis, which are not explicitly detailed in the provided experience. The transition from a Senior Data Scientist/Scientist to a Data Analyst role might indicate a mismatch in career trajectory or expectations, potentially impacting cultural fit if the role is not aligned with their advanced research background. The lack of project diversity outside of ML/CV and medical imaging also limits the assessment of broader cultural adaptability.
Soft Skills & Operational Fit
The candidate's resume highlights a strong background in research and development, suggesting analytical thinking, problem-solving, and independent work. Experience as a lecturer also indicates communication and mentoring skills. However, specific operational fit for a Data Analyst role, which often requires strong business acumen and stakeholder communication beyond research, is not explicitly detailed.