Question 1

What is a resume keyword analyser?

Accepted Answer

A resume keyword analyser scans your resume for important keywords that recruiters and Applicant Tracking Systems (ATS) look for. It helps you optimise your resume to pass automated screening and get more interview calls.

Question 2

How does the AI resume analyser work?

Accepted Answer

Our tool analyses your resume text against a comprehensive database of AI/ML keywords including programming languages (Python, R), frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure), and ML techniques (Deep Learning, NLP). It shows what keywords you have and what you're missing.

Question 3

Is my resume data safe?

Accepted Answer

Yes, absolutely! All analysis happens locally in your browser. Your resume text is never sent to our servers or stored anywhere. We take your privacy seriously.

Question 4

What keywords should I include in my AI/ML resume?

Accepted Answer

For AI and ML roles in Australia, important keywords include: Python, TensorFlow, PyTorch, Machine Learning, Deep Learning, NLP, Computer Vision, AWS, Azure, SQL, and specific frameworks you've used. Our analyser shows you exactly which ones are relevant for your target role.

Question 5

Will this help me pass ATS systems?

Accepted Answer

Yes! Most companies use Applicant Tracking Systems (ATS) that scan resumes for relevant keywords before a human sees them. By optimising your resume with the right keywords, you significantly increase your chances of passing the initial ATS screening.

Question 6

How can I improve my resume score?

Accepted Answer

Add relevant keywords that match your actual experience. Don't stuff keywords you don't have - instead, focus on technical skills, frameworks, and tools you've genuinely used. Aim for a 50-70% keyword match for best results.

Question 7

What is a good keyword percentage?

Accepted Answer

A score of 50-70% is excellent for AI/ML roles. Below 30% means you may need to add more technical keywords. Above 70% is great but make sure you're not keyword stuffing - quality over quantity matters.

Question 8

Can I use this for other tech roles?

Accepted Answer

While this tool is optimised for AI, ML, and Data Science roles in Australia, it also works well for related tech positions like Software Engineering, Data Engineering, and Research roles that involve similar technologies.

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