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I am a University of Melbourne undergraduate and early-career data-focused candidate with a strong foundation in Python, programming, data analysis, online research, and problem solving. Through academic and self-directed projects, I have worked with data preprocessing, machine learning, clustering, visualisation, information verification, and technical reporting. I am detail-oriented, independent, and comfortable following structured guidelines while evaluating information and AI-generated content. I am particularly interested in data analysis, quality assurance, AI evaluation, search relevance assessment, and other roles involving careful research, pattern recognition, and evidence-based decision-making.…I am a University of Melbourne undergraduate and early-career data-focused candidate with a strong foundation in Python, programming, data analysis, online research, and problem solving. Through academic and self-directed projects, I have worked with data preprocessing, machine learning, clustering, visualisation, information verification, and technical reporting. I am detail-oriented, independent, and comfortable following structured guidelines while evaluating information and AI-generated content. I am particularly interested in data analysis, quality assurance, AI evaluation, search relevance assessment, and other roles involving careful research, pattern recognition, and evidence-based decision-making.

Zhaoyi Chen

Data Analyst, AI Evaluator, Data Scientist, +2

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I am a University of Melbourne undergraduate and early-career data-focused candidate with a strong foundation in Python, programming, data analysis, online research, and problem solving. Through academic and self-directed projects, I have worked with data preprocessing, machine learning, clustering, visualisation, information verification, and technical reporting. I am detail-oriented, independent, and comfortable following structured guidelines while evaluating information and AI-generated content. I am particularly interested in data analysis, quality assurance, AI evaluation, search relevance assessment, and other roles involving careful research, pattern recognition, and evidence-based decision-making.…I am a University of Melbourne undergraduate and early-career data-focused candidate with a strong foundation in Python, programming, data analysis, online research, and problem solving. Through academic and self-directed projects, I have worked with data preprocessing, machine learning, clustering, visualisation, information verification, and technical reporting. I am detail-oriented, independent, and comfortable following structured guidelines while evaluating information and AI-generated content. I am particularly interested in data analysis, quality assurance, AI evaluation, search relevance assessment, and other roles involving careful research, pattern recognition, and evidence-based decision-making.

Available to hire

I am a University of Melbourne undergraduate and early-career data-focused candidate with a strong foundation in Python, programming, data analysis, online research, and problem solving. Through academic and self-directed projects, I have worked with data preprocessing, machine learning, clustering, visualisation, information verification, and technical reporting.

I am detail-oriented, independent, and comfortable following structured guidelines while evaluating information and AI-generated content. I am particularly interested in data analysis, quality assurance, AI evaluation, search relevance assessment, and other roles involving careful research, pattern recognition, and evidence-based decision-making.

Skills

Experience Level

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

Chinese

Fluent

English

Advanced

Japanese

Beginner

Work Experience

Academic and Self-directed Projects at AI and Digital Content Evaluation

January 1, 2024 - Present

Evaluated AI-generated responses for clarity, usefulness, factual accuracy, and relevance to user questions. Tested different search queries and compared search results to determine how well they matched user intent. Identified unclear, incomplete, or low-quality responses and considered potential improvements. Developed familiarity with AI tools, search engines, online content platforms, and digital information workflows while practising concise written feedback and reasoning.

Student / Self-directed Researcher at Independent Research and Information Verification

January 1, 2024 - Present

Conducted online research using search engines, academic sources, official websites, and digital databases to verify information accuracy and relevance. Compared multiple sources to identify reliable information, inconsistencies, and outdated or misleading content. Summarised findings clearly in writing and applied logical thinking and detailed reading skills to evaluate whether information was useful, relevant, and trustworthy. Worked independently while following specific instructions and assessment criteria.