# Satyajit Pattnaik (@SatyajitPattnaik) on youtube

- id: koinon:creator:youtube_satyajitpattnaik
- url: https://koinonlink.com/kol/youtube/SatyajitPattnaik
- schema_version: 1.4

## Identity
- platform: youtube
- handle: SatyajitPattnaik
- platform_url: https://www.youtube.com/@SatyajitPattnaik
- entity_type: creator
- person_id: Cross-platform identity not resolved for this creator.

## Reach
- followers: 115000
- posts_observed: 1
- verified: false
- size_tier: kol

## Engagement
- status: not_collected
- status_note: Engagement has not been collected for this creator yet. This is a gap in our collection, NOT a statement that the creator has no engagement. Follower count is known, so it is measurable.
- unit_note: engagement_rate and peak_post_engagement_rate are ratios (0-1); avg_interactions_per_post and best_post_interactions are absolute counts. Read status before reading any number: a null rate has several different causes and status says which one applies here.

## Content
- category: software
- subcategory: ai_tools
- category_confidence: 0.95
- category_source: derived_from_recent_content
- topics: Agentic AI and AI Agents, Generative AI interview questions and prep, Portfolio projects for AI jobs, RAG, LLMs and model techniques, Career advice and job market for AI/Data roles, No-code tools like n8n for AI
- bio: Welcome to the "Satyajit Pattnaik" YouTube channel! I'm the founder of Zep Tech Solutions, where we focus on Zep Analytics and ...

## Audience (inferred)
- status: present
- description: Aspiring AI engineers, data analysts and freshers/early-career job seekers focused on Gen AI, Agentic AI and interview/portfolio preparation
- roles: general_ai
- seniority: learner
- pain_points: Breaking into AI jobs as a fresher with no experience, Building portfolio projects that actually get interview calls, Preparing for scenario-based Gen AI and Agentic AI interviews, Choosing the right skills/career path between AI engineering and data roles
- posts_analysed: 40
- confidence: 0.75

## Commercial (inferred)
- audience_buyer_fit: 0.85
- promotion_intent: 0.8
- open_to_collaboration: false
- contact: Koinon does not publish creator contact details.

## Quality signals
- authenticity_score: 58
- authenticity_basis: profile_shape_only
- credibility_score: 58
- flagged_for_review: false
- koinon_bd_grade: B — measures Koinon partner-outreach fit, not creator quality
- interpretation: Signals for triage, not verdicts. A flag means the profile is worth a manual check.

## Evidence
- [youtube_satyajitpattnaik#7c7165df] How does ChatGPT work? (https://www.youtube.com/@SatyajitPattnaik)
- [youtube_satyajitpattnaik#05668f1a] Components of AI Agent #aiagents
- [youtube_satyajitpattnaik#231ab469] Understanding MCP in under 2 minutes 🚀
- [youtube_satyajitpattnaik#02ab5e7d] The PORTFOLIO project you need to get your first interview call in AI #agenticai #n8n
- [youtube_satyajitpattnaik#b9acbba6] What is a MEDALLION Architecture? #dataengineering
- [youtube_satyajitpattnaik#9079abcc] How to answer THIS Agentic AI Interview Question
- [youtube_satyajitpattnaik#d9198c1a] Generative AI Interview Questions | How to check accuracy of the retrieval process
- [youtube_satyajitpattnaik#d20bfb7d] These 6 Playlists can make you a Data Analyst in 2026 (check description)

## Provenance
Every inferred field below carries how it was produced. Facts stay facts; inferences stay inferences.

- audience.description: source_type=ai_inferred, confidence=0.75, freshness_days=51, method=llm_persona_from_recent_content
- audience.roles: source_type=ai_inferred, confidence=0.75, freshness_days=51, method=llm_persona_from_recent_content
- audience.seniority: source_type=ai_inferred, confidence=0.75, freshness_days=51, method=llm_persona_from_recent_content
- commercial.audience_buyer_fit: source_type=ai_inferred, confidence=0.6, freshness_days=51, method=llm_scorer — Relative signal within Koinon indexing, not a market-wide score.
- commercial.promotion_intent: source_type=ai_inferred, confidence=0.6, freshness_days=51, method=llm_scorer
- quality.anomaly_flags: source_type=heuristic, confidence=0.5, freshness_days=51, method=profile_snapshot_and_engagement_ratio_heuristic — Means "worth a manual check", NOT confirmed fraud. Flags can be wrong and are not a verdict about the person.
- quality.authenticity_score: source_type=heuristic, confidence=0.25, freshness_days=51, method=Profile-shape heuristic from a single snapshot (follower count, following ratio, account age, posting volume, verification), reduced for engagement red flags where post engagement was collected. Where only a follower count is available the score saturates at 58. — The input set differs by platform; do not compare this score across platforms.
- quality.koinon_bd_grade: source_type=ai_inferred, confidence=0.5, freshness_days=51, method=llm_partner_fit_classifier + fit_score >= 0.6 AND authenticity >= 60 => A; fit_score >= 0.4 AND authenticity >= 45 => B; else C. authenticity < 30 or a promotional-pattern flag => quarantine. — Koinon partner-outreach fit, not creator quality.
- reach.followers: source_type=observed, confidence=0.95, freshness_days=51, method=platform_profile

## Freshness
- profile_checked_days_ago: 51
- content_analysed_days_ago: 51
- audience_updated_days_ago: 51

## AI retrieval
- indexing_requests: 12
- user_triggered_requests: 0
- note: Being indexed in bulk is not the same as being retrieved to answer a question.

## This profile
- Claim or correct: https://koinonlink.com/claim?k=youtube_satyajitpattnaik
- Request removal: https://koinonlink.com/claim?k=youtube_satyajitpattnaik
- Terms: https://koinonlink.com/for-ai