Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] A vaga é Linux enterprise + virtualização/backup/AD + processos ITIL; seu CV mostra automação e sistemas, mas não administração Linux em escala nem VMware/Hyper-V/Veeam. ATS tende a priorizar histórico direto de infra/ticketing/change. **Strengths:** Automação (Python/JS), Mentalidade de troubleshooting e melhoria contínua, Documentação e alinhamento com stakeholders **Missing Required:** Administração Linux enterprise (patching/hardening comprovados), Virtualização (VMware/Hyper-V), Backup (Veeam), Active Directory/User management, Ansible/Terraform (uso comprovado), Experiência com processos de change/ticketing

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Você atende grau em engenharia e inglês, mas a vaga exige experiência direta com sistemas aviônicos e engenharia de segurança (FHA/FTA/FMEA/SSA) que não aparece no CV. ATS de aeroespacial costuma ser rígido por domínio e compliance (CREA, processos). **Strengths:** Formação em Engenharia (Mecatrônica), Inglês avançado (C2), Experiência em traduzir requisitos e integrar stakeholders **Critical Gaps:** Experiência com sistemas aviônicos (domínio) **Missing Required:** Experiência com um ou mais sistemas aviônicos citados, CREA registrado ou elegível (evidenciado)

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] ATS will reject due to missing Linux sysadmin title and RHEL/Ansible certifications. Candidate has automation/scripting skills but no enterprise Linux infrastructure experience. **Strengths:** Bash scripting, Automation mindset, Systems thinking **Critical Gaps:** 5+ years Linux system administration, Enterprise infrastructure experience **Missing Required:** Red Hat/Oracle Linux expertise, Ansible configuration management, Red Hat Satellite

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] O nível é menor que a vaga sênior, e sua base de engenharia + capacidade de escrever requisitos ajuda, mas ainda falta qualquer evidência de aviônicos/integração de sistemas aeronáuticos. Sem CREA explícito e sem experiência no domínio, ATS tende a te classificar como fora do perfil. **Strengths:** Formação em Engenharia (Mecatrônica), Inglês avançado (C2), Trabalho com especificação/ponte entre áreas **Critical Gaps:** Vivência prática com engenharia de sistemas aviônicos **Missing Required:** CREA registrado ou elegível (evidenciado)

[ANALYSIS_REPORT] **MEDIUM** [Copilot: GPT5.2] Você tem boa base em arquitetura de dados aplicada (ERP/TOTVS, regras de validação, schema, SQL) e perfil de ponte com negócio, o que conversa com o papel. O gap é a stack e vivência explícita em Azure + lakehouse/pipelines (batch/streaming) e governança formal. **Strengths:** Arquitetura e saneamento de dados (TOTVS/ERP), SQL + modelagem e troubleshooting de schema, Tradução técnico-negócio e governança/rituais **Missing Required:** Microsoft Azure (experiência), Data Lake/Lakehouse (implementação), Pipelines batch e streaming (experiência), Migração DWH on-prem→cloud (experiência)

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Candidate has AWS fundamentals, SQL, Python, and data pipeline thinking from inventory systems. Missing 8+ years professional data engineering title and deep Redshift/Glue expertise. **Strengths:** Data architecture thinking, Automation design, SQLite/SQL knowledge **Critical Gaps:** 8+ years data engineering/architecture experience, MPP database expertise **Missing Required:** Bachelor's/Master's CS or equivalent, Proven large-scale data platform builds

[ANALYSIS_REPORT] **HIGH** [Copilot: GPT5.2] Excelente aderência ao núcleo: governança, regras de negócio, integridade referencial, rastreabilidade/auditoria e atuação como ponte entre áreas — exatamente o que você fez em ERP/TOTVS com validações e saneamento. O que falta é evidência explícita de MDM/LGPD e experiência específica com projetos regulatórios como CNPJ alfanumérico. **Strengths:** Saneamento de dados + prevenção (travas/regras de validação), Modelagem relacional/SQL e impacto em chaves/integridade, Ponte Negócio–TI com governança e documentação **Missing Required:** MDM (Master Data Management), LGPD (aplicação prática evidenciada)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Você tem liderança e boa base analítica/SQL, mas o cargo pede gestão de engenharia de dados em nuvem (plataforma, pipelines, DataOps/MLOps) e isso não está demonstrado. ATS tende a enxergar você como operações/ERP/analytics, não como gestor de data engineering moderno. **Strengths:** Liderança (sócio-fundador / head de engenharia e ops), SQL/Excel e visão de dados de negócio, Governança e relacionamento com stakeholders **Missing Required:** Arquiteturas avançadas de engenharia de dados em nuvem (AWS/GCP/Azure), DataOps e/ou MLOps (experiência), Data lake/lakehouse (implementação), Gestão de time de engenheiros/arquitetos de dados (experiência explícita)

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] Você tem base forte em SQL/integração e alguma familiaridade com AWS, mas a vaga pede experiência sólida com Spark + AWS Glue + Redshift, normalmente filtrada por keywords e projetos recentes. Sem esses termos, ATS tende a rejeitar antes de qualquer avaliação qualitativa. **Strengths:** SQL e modelagem/diagnóstico de dados, Integração de sistemas (APIs/middleware), Inglês avançado para projeto global **Missing Required:** Spark, AWS Glue, Amazon Redshift, Pipelines de dados em cloud (stack demonstrada)

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Candidate has software development experience (Python, APIs, automation) and systems thinking. BCG requires 6-10 years in 'software development/tech consulting' title which candidate lacks. **Strengths:** IT system architecture understanding, Business-tech translation, Workshop facilitation **Critical Gaps:** 6-10 years professional software development title, Technical project management in enterprise **Missing Required:** STEM degree with above-average performance, Extensive enterprise architecture assessment experience

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Identical to Job 3 (BCG duplicate). Candidate has software development experience but lacks required professional title and enterprise consulting background. **Strengths:** IT system architecture understanding, Business-tech translation, Workshop facilitation **Critical Gaps:** 6-10 years professional software development title, Technical project management in enterprise **Missing Required:** STEM degree with above-average performance, Extensive enterprise architecture assessment experience

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Candidate has GenAI integration (job scraper tool), Python, team coordination, and systems thinking. Missing 5+ years professional 'Software Engineering' or 'Data Science' title and team management experience. **Strengths:** GenAI tool building, Python proficiency, Agile/autonomy mindset **Critical Gaps:** 5+ years professional Software/Data Engineering title, 1+ years managing engineering teams **Missing Required:** Team management experience with goal-setting/coaching, GenAI engineering professional experience

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Candidate has ML/AI integration and business-tech translation skills. EPAM requires 12+ years in 'Data Analytics/ML/AI' professional roles, which candidate completely lacks. **Strengths:** Business-tech liaison, Problem-solving translation **Critical Gaps:** 12+ years Data Science/ML/AI leadership, Leading multidisciplinary AI teams, Influencing senior stakeholders for funding **Missing Required:** Extensive ML/AI leadership experience, Proven track record deploying ML solutions, Leading geographically dispersed teams

[ANALYSIS_REPORT] **HIGH** [Copilot: Sonnet4.5] Strong match: candidate built GenAI job scraper, has Python, AWS fundamentals, and LLM integration. Missing formal production ML deployment experience but proof-of-work demonstrates capability. **Strengths:** GenAI model integration, Python proficiency, AWS experience, Production-ready systems

[ANALYSIS_REPORT] **HIGH** [Copilot: Sonnet4.5] Duplicate of Job 7. Same strong match: GenAI experience, Python, AWS fundamentals, and production system thinking align well with requirements. **Strengths:** GenAI model integration, Python proficiency, AWS experience, Production-ready systems

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Duplicate of Job 6. EPAM requires 12+ years ML/AI professional leadership which candidate lacks entirely. Same ATS blockers and culture mismatch. **Strengths:** Business-tech liaison, Problem-solving translation **Critical Gaps:** 12+ years Data Science/ML/AI leadership, Leading multidisciplinary AI teams, Influencing senior stakeholders for funding **Missing Required:** Extensive ML/AI leadership experience, Proven track record deploying ML solutions, Leading geographically dispersed teams

[ANALYSIS_REPORT] **TOP** [Copilot: Sonnet4.5] Excellent match: candidate built complex automation (inventory system, job scraper), has n8n-style workflow thinking, SQL, API integration, and LLM experience. Small investment firm values builders. **Strengths:** Complex automation systems, LLM integration, SQLite/SQL proficiency, API integrations, High-stakes production systems

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5.2] A vaga é híbrida em Maceió e você está baseado em São Paulo, então há restrição geográfica prática para seguir no processo. Mesmo havendo match parcial em integração com LLMs/APIs, o formato presencial/híbrido tende a bloquear. **Strengths:** Integração com LLMs (Node.js), Integração de APIs e automações, Documentação e governança operacional **Missing Required:** Disponibilidade para trabalho híbrido em Maceió

[ANALYSIS_REPORT] **TOP** [Copilot: Sonnet4.5] Strong match for ERP Key User role with direct TOTVS/ERP experience, system documentation, training delivery, and logistics domain knowledge. Missing formal WMS/CRM experience but demonstrates equivalent capabilities through automated inventory systems. **Strengths:** ERP expertise (TOTVS), Process documentation, System training, Logistics domain

[ANALYSIS_REPORT] **LOW** [Copilot: GPT5-mini] Resume shows strong ERP turnaround, data remediation and process automation but contains no SAP SD/OTC, S/4HANA, or ABAP experience that this role requires. Enterprise SAP configuration is a hard requirement and the candidate's TOTVS experience does not map directly for ATS rules. **Strengths:** ERP turnaround and data remediation at scale, Order/process domain knowledge (procurement, billing workflows), Middleware integration and automation experience **Critical Gaps:** No SAP SD/OTC domain experience (role-specific platform mismatch) **Missing Required:** 3+ years SAP OTC configuration and support

[ANALYSIS_REPORT] **MEDIUM** [Copilot: Sonnet4.5] Functional analyst role for Mega ERP aligns with ERP systems expertise and business-IT bridge work. Strong process mapping and requirements gathering match, but lacks Mega ERP specific experience and 100% presencial in Londrina/PR is challenging. **Strengths:** ERP functional analysis, Requirements gathering, UAT/testing, Process mapping **Critical Gaps:** Mega ERP platform experience **Missing Required:** Mega ERP

[ANALYSIS_REPORT] **HIGH** [Copilot: Sonnet4.5] Strong LLM integration experience with Node.js market intelligence tool matches core requirements. RAG and Prompt Engineering capabilities demonstrated, but lacks formal Python ML framework depth and GCP Vertex AI experience. **Strengths:** LLM integration (OpenAI/Gemini), RAG implementation, Node.js/JavaScript, Python experience

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] GenAI/RAG architecture requirements partially met through practical LLM implementation, but EY enterprise culture, Big 4 consulting environment, and formal AI engineering credentials create significant barriers. Financial services domain is adjacent to candidate's finance background. **Strengths:** RAG implementation, LLM integration, Python, API integration **Critical Gaps:** Enterprise consulting experience, Formal AI engineering role **Missing Required:** Professional AI engineering experience

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] PCD-specific role at Accenture (another Big 4) with GenAI/LLM requirements that partially match skills. However, enterprise transformation consulting culture, Accenture scale/process, and requirement for formal tech company experience create barriers. **Strengths:** Python/Pandas, SQL, GenAI/LLM concepts, Git **Critical Gaps:** PCD requirement not met, Enterprise consulting experience, Formal data/AI analyst role **Missing Required:** PCD status, Professional AI/Data role experience

[ANALYSIS_REPORT] **LOW** [Copilot: Sonnet4.5] Bank AI analyst role requires formal ML/AI education path, model development experience, and deep statistical knowledge. Candidate has practical AI integration but lacks ML model training, Deep Learning frameworks, and formal data science background. **Strengths:** Python, SQL, LLM integration experience **Critical Gaps:** Formal ML/AI development experience, Data Science/Statistics education **Missing Required:** ML/AI project experience (prototipagem to delivery), Engineering/CS/Statistics degree