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01We extract your experience, infer transferable skills, and map evidence from your CV in seconds.
SkillVyb benchmarks your resume against role-specific competency maps, surfaces your highest-value gaps, and keeps you aligned with what employers in Data, Analytics, AI, and Geospatial roles actually screen for.
Benchmark engine
Career Readiness Snapshot
The roadmap favors the next skills with the highest hiring signal for your chosen role — not a generic course list.
9
Career tracks
35+
Skill benchmarks
2 min
To your readiness score
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Platform designed for you
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How SkillVyb works
The audit engine reduces noise — see what matters now, where you're behind, and how to close the gap.
We extract your experience, infer transferable skills, and map evidence from your CV in seconds.
Pick a role and see your readiness against the competencies employers screen for right now.
Focus on skills with the biggest payoff — from SQL to MLOps, geospatial, or AI governance.
Your audit becomes the backbone for pathways, mentorship, projects, and role matching.
Career paths
SQL, BI, analysis, communication, and decision support.
Problem structuring, stakeholder management, BI, and analysis.
Experimentation, product metrics, and modern analytics tooling.
ETL pipelines, cloud platforms, and production data work.
Statistics, modelling, experimentation, MLOps, and AI workflows.
Machine learning, deployment, LLM integration, and ML engineering.
Geospatial analysis, GIS, remote sensing, and AI-related modelling.
Responsible AI, policy, risk, compliance, and governance.
Product thinking, AI literacy, governance, and cross-functional leadership.
In-demand skills
SkillVyb reflects sought-after competencies across every supported role — cloud data tooling, MLOps, prompt design, geospatial analytics, and AI governance.
The gaps surfaced for a Data Engineer are meaningfully different from what a Product Analyst or AI Governance professional sees.
See your gap analysisWhy SkillVyb
Each role maps to high-demand competencies so you don't train against outdated checklists.
Geospatial AI surfaces GIS gaps. Data Engineering surfaces ETL and cloud gaps. Governance surfaces policy and risk gaps.
See exactly where you're strong, where you're underpowered, and what to tackle first to move faster.
Translate prior experience into a stronger path into Data, Analytics, AI, and emerging specializations.
Start with the skill audit, surface your real gaps, and make progress against the competencies that matter now for the role you want.