Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] SEO Analyst requiring SEMrush, Google Analytics, Search Console, keyword research, and SERP optimization experience. Candidate has zero SEO background. Analytical profile is insufficient when core domain expertise is completely absent. **Strengths:** Analytical profile **Critical Gaps:** No SEO experience **Missing Required:** SEO project experience, SEO tools knowledge

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Junior SEO Analyst role - lower barrier but still requires SEO fundamentals, Google Analytics, Search Console, and keyword research. Candidate lacks all SEO-specific skills. HTML knowledge mentioned as 'desejável' provides minimal overlap. **Strengths:** Analytical capability, Data organization **Critical Gaps:** No SEO foundation **Missing Required:** Basic SEO knowledge, SEO tools familiarity

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] The candidate has solid systems architecture experience and uses Go/Python, which aligns with the backend needs. However, the ATS will flag the lack of standard 'Backend Engineer' titles and the missing 6+ years of required formal experience. Furthermore, specific enterprise search technologies like Kafka, Spark, and Elasticsearch are entirely missing from the resume. **Strengths:** Go, Distributed systems architecture, PostgreSQL **Critical Gaps:** Missing 6+ years explicit Backend Engineer experience **Missing Required:** 6+ years backend engineering, Search technologies (Elasticsearch/OpenSearch)

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Mid-level SEO Analyst requiring on-page, technical SEO, content strategy, link building, GA4, Search Console, and SEMrush. Candidate has no SEO experience. The role requires GEO (Generative Engine Optimization) knowledge which is AI-adjacent but still SEO-focused. **Strengths:** AI/LLM experience **Critical Gaps:** Complete SEO domain gap **Missing Required:** SEO strategy experience, SEO tools proficiency

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] XP/InfoMoney Web Audience Analyst role requiring SEO mastery, GA4, Search Console, WordPress, HTML/CSS, and news/financial content experience. Candidate has HTML/CSS and financial background from crypto/trading, but lacks all SEO-specific expertise. WordPress and SEO tools are critical gaps. **Strengths:** Financial market knowledge, Analytical profile, HTML/CSS basics **Critical Gaps:** No SEO experience **Missing Required:** SEO domain expertise, Web audience analytics

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Mid-level SEO Analyst for press agency requiring complete SEO strategy (on-page, off-page, technical), audits, keyword research, link building, and KPI monitoring. Candidate has no SEO background whatsoever. **Strengths:** Analytical profile, KPI monitoring experience **Critical Gaps:** Complete SEO domain absence **Missing Required:** SEO project experience, SEO strategy implementation

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Porto Seguro Senior SEO Analyst - complex role requiring 4+ years SEO, technical SEO, GEO (AI optimization), E-E-A-T, Schema.org, and HTML/CSS/JS. Candidate has HTML/CSS/JS and AI/LLM knowledge but zero SEO foundation. The GEO and AI aspects are interesting overlaps but insufficient without SEO core. **Strengths:** AI/LLM knowledge, HTML/CSS/JS, Data analysis **Critical Gaps:** No SEO experience - requires 4+ years **Missing Required:** SEO technical expertise, SEO years of experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Technical SEO Analyst with CMS/product focus. Requires SEO technical expertise, Search Console, GA4, Core Web Vitals, and experience working with Product/Engineering teams. Candidate has technical skills (HTML/CSS/JS) and product collaboration experience but zero SEO background. 'More technical than content' aligns slightly better but still requires SEO foundation. **Strengths:** Technical background, CMS experience, Product team collaboration **Critical Gaps:** No SEO experience **Missing Required:** SEO on-page/off-page/technical experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Technical SEO Analyst talent pool - entry-level role requiring organization, proactivity, WordPress/CMS management, Search Console, and keyword research support. Lower barrier but still requires SEO fundamentals that candidate lacks. **Strengths:** Organization, Proactivity, Technical aptitude **Critical Gaps:** No SEO background **Missing Required:** SEO basics, CMS platform experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Head of Organic Growth/SEO - senior leadership requiring advanced WordPress, SEO technical mastery, Core Web Vitals, and proven organic growth results. Candidate has some technical overlap (HTML/CSS basics) but lacks SEO foundation entirely. Leadership experience exists but in wrong domain. **Strengths:** Leadership experience, Hands-on technical profile, HTML/CSS basics **Critical Gaps:** No SEO experience for Head-level role **Missing Required:** SEO technical expertise, Organic growth track record

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Senior SEO Analyst (Non-Paid Media) for travel tech company. Requires advanced SEO (technical, on-page, off-page), Python, SQL, GA4, Search Console, and English proficiency. Candidate has Python, SQL, English (C2), and analytics skills but lacks SEO foundation. GEO/AI Search mentioned as differential aligns with candidate's LLM knowledge. **Strengths:** Python, SQL, English C2, Analytical profile, LLM/AI knowledge **Critical Gaps:** No SEO experience **Missing Required:** SEO organic strategy leadership, SEO years of experience

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Mid-level On-Page SEO Analyst at Gear SEO agency. Requires Search Console, Screaming Frog, SEMrush, GA4, HTML/CSS/JS basics, and SEO ranking factors knowledge. Candidate has HTML/CSS/JS and analytical skills but no SEO background. **Strengths:** HTML/CSS/JS basics, Analytical profile, Data interpretation **Critical Gaps:** No SEO experience **Missing Required:** SEO project history, SEO tools proficiency

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Technical SEO Analyst with focus on crawling, indexing, robots.txt, sitemaps, schema markup, and Core Web Vitals. More technical than content-focused. Candidate has technical skills (web development, HTML) but lacks specific SEO technical knowledge like Screaming Frog, Search Console optimization, and schema implementation experience. **Strengths:** HTML knowledge, Technical mindset, Web development experience **Critical Gaps:** No SEO technical experience **Missing Required:** SEO technical auditing, SEO tools proficiency

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Senior Fullstack Developer / Tech Lead for SEO & Growth - requires Vue/Nuxt, Node.js, PostgreSQL, ElasticSearch, GCP, and SEO technical understanding (Core Web Vitals, rendering, crawlers). Candidate has Node.js, PostgreSQL, Go, Linux, and strong technical production experience. Missing Vue/Nuxt and Elasticsearch specifically, but has solid fullstack foundation. **Strengths:** Node.js production experience, PostgreSQL, Performance optimization, Production systems at scale, SSR understanding **Missing Required:** Vue.js/Nuxt specific experience

[ANALYSIS_REPORT] **TOP** [Opencode: google/gemini-3.1-pro-preview] The candidate's recent projects align perfectly with the modern AI stack requested, including LLMs, Cursor, API development, and PostgreSQL. The ATS will pick up strong semantic matches for building 0-to-1 products and AI integration. The only deduction is the lack of a formal 'Software Engineer' title history, which caps the score. **Strengths:** LLM Pipeline Design, Prompt Engineering, 0-to-1 product development, PostgreSQL

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] Senior Data Scientist for Catalog team at Grupo SBF (Centauro/Fisia). Requires 5-7 years DS experience, Python, SQL, ML classification/regression, BigQuery, A/B testing, and NLP for product data. Candidate has Python, SQL, data pipeline experience, and some ML/AI exposure through LLM work. Missing explicit DS title history and ML model deployment experience. **Strengths:** Python, SQL/PostgreSQL, Data pipelines, NLP adjacent (LLM work), E-commerce experience **Critical Gaps:** No Data Scientist title history **Missing Required:** Data Scientist experience years, ML model deployment

[ANALYSIS_REPORT] **MEDIUM** [Opencode: opus-4-5] AI Python Developer requiring Python 3.11+, FastAPI, asyncio, Redis Streams, Weaviate/vector DBs, RAG, embeddings, NER, Ollama, model quantization, Docker. Candidate has Python, Docker, RAG experience, embeddings (mentioned), LLM APIs. Missing FastAPI, Redis Streams, Weaviate, and deep MLOps experience. **Strengths:** Python, Docker, RAG implementation, LLM APIs (Claude, Gemini, OpenAI), Embeddings work **Missing Required:** FastAPI experience, Vector DB experience

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] The candidate is an AI integrator and systems architect, not a traditional Data Scientist. The ATS will auto-reject based on the missing 5 years of formal Data Science experience and the lack of deep learning frameworks. The candidate uses API-based LLMs rather than training foundational models in PyTorch. **Strengths:** Python, SQL, Rule-based decisioning **Critical Gaps:** Missing 5 years formal Data Science experience, Missing Deep Learning frameworks **Missing Required:** 5 years in Data Science, PyTorch/TensorFlow

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] This is a big consulting role requiring a traditional Machine Learning Developer profile. The candidate lacks the requisite Spark and Deep Learning architecture experience. The ATS will immediately flag the missing ML job titles. **Strengths:** Python **Critical Gaps:** Missing 5+ years Machine Learning title **Missing Required:** 5+ years ML, Spark

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] The candidate has strong data analysis skills and Python experience, but lacks the formal Machine Learning title and predictive modeling toolkit requested. The ATS will score this poorly due to missing statistical modeling keywords. **Strengths:** Python, MySQL, Data analysis **Critical Gaps:** Missing 3+ years formal ML experience **Missing Required:** 3+ years ML/Data Science

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] The role strictly requires 5+ years in Data Science with a focus on recommendation systems, PyTorch, and Power BI. The candidate's background is in systems automation and GenAI integrations, resulting in a low ATS match. **Strengths:** Python, SQL, Stakeholder communication **Critical Gaps:** Missing 5+ years Data Science experience, Missing ML frameworks **Missing Required:** 5+ years in Data Science, Power BI

[ANALYSIS_REPORT] **LOW** [Opencode: opus-4-5] Mid-level Data Scientist at Stellar Gaming (iGaming). Requires 3+ years DS, Python, SQL, Spark/PySpark, ML models (classification, regression, time series), Git, and statistical foundation. Candidate has Python, SQL, Git, and analytical background but lacks explicit DS title, Spark experience, and ML model development history. **Strengths:** Python, SQL, Statistical foundation (demand forecasting), Git **Critical Gaps:** No Data Scientist title or explicit experience **Missing Required:** DS experience years, Spark, ML models

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] O candidato domina Python, SQL e pipelines de dados/IA fim-a-fim, mas não evidencia trajetória formal como Cientista de Dados nem o uso de plataformas como MLflow/SageMaker/Vertex. Há forte experiência com LLMs, scraping e scoring em produção, o que cobre parte das demandas de ML aplicado ao negócio. Faltam, porém, sinais claros de modelagem estatística clássica, PySpark e monitoramento sistemático de modelos de ML tradicionais. **Strengths:** Experiência forte com Python, SQL e automação de dados, Construção de pipelines de scoring com IA em produção, Capacidade comprovada de atuar como elo entre negócio e tecnologia **Missing Required:** Experiência formal de pelo menos 3 anos em Ciência de Dados, Implantação e monitoramento de modelos de machine learning em produção com MLflow/SageMaker/Vertex AI, Experiência prática com PySpark

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.1] O candidato tem Python, SQL e experiência analítica aplicada (trading, automação, relatórios), mas não apresenta claramente uso de bibliotecas DS padrão nem portfólio de regressão/classificação/clustering. Há forte capacidade de transformar problemas de negócio em sistemas executáveis e de trabalhar com dados em produção. Faltam evidências explícitas de base estatística formal, testes de hipótese e visualização com ferramentas citadas. **Strengths:** Experiência sólida em Python para automação e backends, Forte atuação com SQL e dados operacionais em escala, Capacidade de atuar ponta a ponta em projetos orientados a dados **Missing Required:** Domínio de Python com bibliotecas de Data Science (Pandas, NumPy, Scikit-learn), Experiência prática em regressão, classificação, clustering e séries temporais, Base sólida em estatística e testes de hipótese

[ANALYSIS_REPORT] **LOW** [Opencode: google/gemini-3.1-pro-preview] This role at BEES requires deep expertise in big data platforms (Databricks, Spark) and deep learning for portfolio optimization. The candidate's engineering focus is on lean, zero-abstraction setups rather than enterprise big data stacks. **Strengths:** Python, CI/CD, Automation workflows **Critical Gaps:** Missing PySpark/Databricks, Missing traditional ML optimization experience **Missing Required:** Databricks, PySpark