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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
distributed-tx-orchestrator
May 20, 2026 – Present
distributed-tx-orchestrator — repository
View Projecte2e-data-pipeline-n8n-looker
May 19, 2026 – Present
e2e-data-pipeline-n8n-looker — repository
View ProjectAFL-Player-Performance-Analyzer
December 16, 2024 – Present
The AFL Player Performance Analyzer is an open-source project aimed at revolutionizing AFL analytics using modern machine learning and AI techniques. This project analyzes player performance over the past two seasons, focusing on key metrics like goals, disposals, player matchups, injury prediction, and game/team impact.
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a diverse range of technologies and project types (data analysis, distributed systems, general repositories). While this indicates a broad interest, many projects are not directly frontend-focused, which might suggest a broader technical interest rather than a deep specialization in frontend development. The 'experienceLevel' is 0, which, combined with personal projects, suggests a junior profile rather than a senior one. This could impact cultural fit for a senior role requiring deep domain expertise.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, providing no insights into logical reasoning, work attitude, stress handling, or team collaboration.