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The University of Adelaide
Data Scientist
June 25, 2026 – Present
RSVanishingPoint
January 2, 2020 – January 2, 2020
Vanishing Point detection for Rolling Shutter Images, ICCV 2017
View ProjectASTAR
December 18, 2019 – February 12, 2020
ASTAR : GLOBALLY OPTIMAL CONSENSUS MAXIMISATION, CVPR 2015
View ProjectGeneralized-Procrustes-analysis
June 20, 2019 – June 21, 2019
This piece of code employs GPA for face alignment
View Projectsift2rgb-tensorflow
June 20, 2019 – June 20, 2019
Generate RGB images from SIFT feature descriptors, BMVC 2018
View ProjectAbsolutePoseRegression
June 20, 2019 – June 20, 2019
Regress absolute pose from SIFT inputs, BMVC 2018
View ProjectHyGrCls
January 8, 2015 – February 21, 2019
This program is for hyper graph clustering for large hyper edges
View ProjectCultural Fit Analysis
The candidate's project history shows a strong academic and research focus, particularly in computer vision and machine learning. While this aligns with the technical demands of a Data Scientist role, the diversity of projects outside of this specific domain is limited. The single listed professional experience as 'Data Scientist' at The University of Adelaide is current but lacks detail, making it difficult to fully assess alignment with a broader industry data science role. The candidate's experience level is listed as 0, which contradicts the current role, suggesting a potential data discrepancy or a very recent entry into the role.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's experience is primarily research-oriented, which may indicate strong problem-solving and analytical skills, but collaboration and communication in a team setting are not explicitly demonstrated.