AI/Data Science | Resume + LinkedIn + GitHub Optim

Jyoti Yadav

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Best Seller
AI/Data Science | Resume + LinkedIn + GitHub Optim
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Digital Product

📦 PACKAGE OVERVIEW

Duration: 2 weeks intensive optimization

Goal: Transform your profile to attract recruiters and pass ATS systems

Outcome: Professional resume, optimized LinkedIn & GitHub, job search strategy

✅ WHAT'S INCLUDED

1️⃣ PROFESSIONAL RESUME OPTIMIZATION

Complete Resume Overhaul:

  1. ✅ Detailed audit with feedback report
  2. ✅ ATS (Applicant Tracking System) optimization
  3. Keyword integration for AI/Data Science roles
  4. Formatting that passes ATS scanners
  5. Proper section ordering for maximum impact
  6. ✅ Content restructuring
  7. Achievement-based bullets (not responsibilities)
  8. Quantifiable metrics and results
  9. Technical depth without jargon overload
  10. ✅ Professional design (recruiter-friendly layout)
  11. ✅ 2-3 revision rounds until perfect
  12. ✅ Multiple role-specific versions (Data Scientist, ML Engineer, AI Engineer, Gen AI Developer)

What We Fix:

  1. ❌ Generic statements → ✅ Powerful impact summary
  2. ❌ Responsibilities → ✅ Achievements with metrics
  3. ❌ Outdated skills → ✅ Current technologies
  4. ❌ Poor project descriptions → ✅ Impact-focused summaries

2️⃣ LINKEDIN PROFILE OPTIMIZATION

Complete LinkedIn Makeover:

  1. ✅ Headline optimization for recruiter searches
  2. Before: "Student at XYZ University"
  3. After: "AI Engineer | Generative AI | LLMs | Python | ML"
  4. ✅ About/Summary section - compelling professional story
  5. ✅ Experience section - project-based achievements
  6. ✅ Skills & Endorsements strategy (30-50 relevant skills)
  7. ✅ Featured section setup - showcase top projects
  8. ✅ Profile elements: photo guidelines, banner template, contact visibility, "Open to Work" settings

LinkedIn Discoverability:

  1. SEO optimization for recruiter searches
  2. Keyword density in strategic places
  3. Skills taxonomy alignment
  4. Creator mode activation

Bonus: Weekly posting schedule template and content strategy guidance

3️⃣ GITHUB PROFILE OPTIMIZATION

Portfolio Review & Enhancement:

  1. ✅ Profile README creation/improvement
  2. Professional bio and technical skills
  3. GitHub stats and activity showcase
  4. Project highlights and contact info
  5. ✅ Repository audit (top 6 to pin)
  6. README quality check for each project
  7. Code quality assessment
  8. Documentation completeness review
  9. ✅ Repository optimization:Comprehensive README templates (installation, usage, results)
  10. Requirements.txt/environment.yml
  11. LICENSE files and .gitignore
  12. Clean commit history
  13. Code comments and docstrings

What We Review:

  1. Code quality and readability
  2. Documentation completeness
  3. Project relevance and complexity
  4. Deployment status
  5. Technology stack modernity

Improvement Suggestions:

  1. Which projects to showcase vs. hide
  2. Quick documentation wins
  3. Code refactoring priorities

4️⃣ SKILLS GAP ANALYSIS

Personalized Assessment:

  1. ✅ Technical skills evaluation (Python, ML frameworks, Gen AI tools)
  2. ✅ Skills vs. market demand comparison
  3. ✅ Critical missing skills identification
  4. ✅ Personalized learning roadmap (3-6 months)
  5. Priority skills to learn (top 3-5)
  6. Free/paid resources for each skill
  7. Practice project ideas

Skills Categories:

  1. Technical: Python, SQL, Scikit-learn, TensorFlow, PyTorch, LangChain, OpenAI API, Docker, FastAPI, Git
  2. Soft Skills: Communication, problem-solving, teamwork

Skills Presentation Guide:

  1. How to categorize on resume
  2. Proficiency levels (Expert/Intermediate/Beginner)
  3. Skills to emphasize per role
  4. Outdated skills to remove

5️⃣ JOB SEARCH STRATEGY

Where to Apply:

  1. ✅ Job platforms: LinkedIn Jobs, Naukri, Indeed, AngelList, Instahyre, RemoteOK
  2. ✅ Company career pages (product companies, AI startups)
  3. ✅ Referral strategies: networking templates, cold outreach scripts

Application Best Practices:

  1. Weekly targets (5-10 quality applications)
  2. Application tracking spreadsheet (template provided)
  3. Timing and follow-up strategies
  4. Email templates for follow-ups

ATS-Beating Strategies:

  1. ✅ Job description analysis technique
  2. ✅ Resume customization for each role
  3. ✅ Cover letter templates (when needed)
  4. ✅ Application checklist (file naming, keywords, LinkedIn updates)

6️⃣ QUICK-WIN IMPROVEMENTS

Immediate Actions:

  1. ✅ Top 10 skills to add to LinkedIn (personalized)
  2. ✅ 5 resume bullet rewrites (before/after examples)
  3. ✅ GitHub README template (ready to use)
  4. ✅ LinkedIn summary template (fill-in-the-blanks)
  5. ✅ Top 20 companies list (personalized)
  6. ✅ Email signature template (professional branding)
  7. ✅ Portfolio website setup guide (Carrd/GitHub Pages)

Quick Fixes:

  1. Fix grammatical errors across profiles
  2. Update photos (consistency)
  3. Add contact info everywhere
  4. Enable "Open to Work" on LinkedIn
  5. Link all profiles together

📋 DELIVERABLES

You Receive:

  1. Detailed Audit Report (strengths, weaknesses, recommendations)
  2. Optimized Resume (2-3 role-specific versions in .docx and PDF)
  3. LinkedIn Profile Copy (headline, summary, experience descriptions)
  4. GitHub Profile README (markdown file + repository templates)
  5. Skills Gap Analysis Report (learning roadmap with resources)
  6. Job Search Strategy Document (target companies, platforms, templates)
  7. Quick Reference Guides (ATS checklist, LinkedIn optimization, GitHub best practices)

⏱️ TIMELINE

Week 1:

  1. Day 1-2: Submit materials (resume, LinkedIn/GitHub URLs)
  2. Day 3-4: Receive detailed audit report
  3. Day 5-7: First optimization round

Week 2:

  1. Day 8-10: Review and revisions
  2. Day 11-12: Final polishing
  3. Day 13-14: All deliverables + strategy session

Post-Package: 1 follow-up session (30 min after 2 weeks) + email support for tweaks

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₹23,000
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