Career rebound · AI-powered

Turn your past into
your next career

Upload your resume. ReSkillio finds your transferable skills, shows where you fit best across 8 industries, closes your gaps, and hands you a 90-day plan — in under 2 minutes.

47avg skills found
per resume
<2 minfrom upload
to full plan
8industries
scored
90day reskilling
roadmap
01Upload
02Analyzing
03Skills
04Industry
05Gap
06Narrative
07Plan
08Download
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Drop your resume here
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resume.pdf ready to analyze

Not sure yet? Skip this — ReSkillio will show you where you fit best across 8 industries.

What problems did you love solving, or what would your manager say you’re genuinely great at? 3–4 sentences is plenty — this helps us find the version of you that job titles miss.

Reading your career history
0.0s

5 AI stages running in sequence. Each one is fail-safe — a slower stage never blocks results already produced.

Parsing resume — sections, roles, dates
Extracting skills — 3-pass NLP (PhraseMatcher → noun chunks → NER)
Embedding skills into 768-dim semantic space (Vertex AI)
Scoring against 8 industry vectors — BigQuery ML cosine distance
Inferring your professional archetype — Gemini 2.5 Flash trait analysis
Writing your career narrative — Gemini 2.5 Flash + RAG grounding
Your skill profile
47 skills found across 11 years of career history — including skills you may not have thought to put on your resume.
47
skills found
18
technical
14
leadership
15
domain & tools
Technical & analytical
Process optimization Supply chain management Data analysis KPI reporting SQL Inventory forecasting Demand planning
Tools & platforms
SAP ERP WMS systems Excel / Google Sheets Tableau (basic) Power BI
Leadership & soft skills
Team leadership (40 people) Vendor negotiation Cross-functional collaboration Budget management Risk management Change management Stakeholder communication
Strongly evidenced
Evidenced
Inferred from context
Your industry fit scores
Your skills were scored against 8 industries using BigQuery ML cosine distance — computed in-database against pre-built industry centroid vectors. These are the markets where you are already most competitive, before any reskilling.
Operations & analytics best fit
71.2
Supply chain tech
68.4
FinTech / risk ops
54.1
HealthTech operations
47.3
eCommerce & retail ops
38.9
Cybersecurity
29.4
Software engineering
22.1
Data & AI (deep tech)
18.6
Top suggested roles for you: Operations Analyst · Supply Chain Data Analyst · Logistics Technology Consultant · Vendor Operations Manager · Process Improvement Specialist

A low score is not a failure — it is guidance on where not to spend energy. Focus your search on the top 2 industries where your existing skills are already most valuable.

Finding live hiring signals…
Your role readiness
Calculating your readiness for live roles…
Paste a specific job description to go deeper — or skip straight to your career story.
Your career narrative
Generated by Gemini 2.5 Flash, grounded entirely in facts retrieved from your skill profile and gap analysis. No generic language. No hallucination.
A data-driven operations leader with 11 years managing high-velocity logistics at scale, your foundation in process optimization, KPI-led decision making, and cross-functional team leadership directly translates to Operations Analyst roles in logistics technology. Your hands-on experience building warehouse tracking systems and managing $200M in annual freight positions you as someone who understands the operational reality behind the data — a rare combination that analytics teams actively seek. Closing the gap on Python and Tableau will make you a compelling candidate within 60–90 days.
This narrative was built only from facts in your resume and your BigQuery skill profile. The model was given a strict system instruction: do not invent or infer — only use retrieved context. You can use this text directly.
Calculating your salary range…
Finding employers actively hiring for your profile…
Your 90-day reskilling plan
Built around your 3 skill gaps by a two-agent CrewAI crew — one agent researches real courses (Coursera, Udemy, YouTube), one synthesises them into a phased roadmap. Designed for 6–8 hours per week alongside active job searching.
Weeks 1–4
Python for data analysis
Focus on pandas, data cleaning, and basic operational scripting. Use your own freight data as the practice dataset — your domain knowledge is the advantage, not the code.
Coursera: Python for Everybody — University of Michigan
Milestone: clean and visualise a real dataset from your previous role — this becomes a portfolio piece
Weeks 5–8
Tableau fundamentals
Build operational KPI dashboards. You already know what the metrics mean — now learn to present them visually. Your Operations Analyst target role lists this as a required skill.
Udemy: Tableau A-Z — Kirill Eremenko
Milestone: recreate your old KPI dashboard in Tableau — screenshot for LinkedIn and portfolio
Weeks 9–12
A/B testing & analytics basics
Close the final gap and prepare to speak confidently about experimentation in interviews. 2–3 hours of study — not a full course. Your process improvement background makes this intuitive.
Coursera: A/B Testing for Business Analysts — Google
Milestone: apply for 3 Operations Analyst roles — you are ready
You are not starting from zero. You are layering three targeted skills on top of 11 years of deep operational expertise. That combination is uncommon and genuinely sought after — the courses are the credential. The knowledge is already yours.
Done.

From displaced to job-ready in under 2 minutes.

47
skills found
74/100
role match score
3
skills to bridge
90
days to ready
Download your career package
Skills-first resume
Rewritten to lead with transferable skills, not job titles
90-day roadmap PDF
Week-by-week plan with all course links included
Career narrative
Copy-ready for LinkedIn, cover letters, and interviews
Full skill report
All 47 skills with confidence scores and source evidence
See who needs what you know
Your Opportunity Radar scans live postings for fractional, consulting, and advisory roles — scored against your skills, identity, and preferences.
View my matches →
Track your progress week by week
Check in each Monday — your companion tracks gap score, course progress, and applications, then generates a personalised digest to keep you on track.
Open my weekly digest →
Found a new job posting? Come back and paste it in — your skill profile is saved to BigQuery. The gap analysis runs in under 10 seconds on return visits.