Anti-ATS Evaluatorv1.3

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong systems architecture, automation, and general technical problem-solving skills, supported by a proven 'fast learner' track record. However, the role critically requires proficiency in .NET/C# and React, which are not present in the candidate's explicit or inferred skill set, leading to significant critical gaps for this specific technology stack. **Critical Gaps:** - .NET/C# ecosystem for backend development - React for frontend **Strengths:** - Exceptional systems architecture and design capabilities, demonstrated through complex project builds and operational leadership. - Proven 'fast learner' ability, quickly acquiring new complex technical skills (e.g., AI infrastructure, algorithmic trading). - Extensive experience in automation, data integrity, and building robust, scalable operational systems. **Missing Required:** .NET/C# ecosystem for backend development, React for frontend

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] The candidate demonstrates strong systems thinking, automation expertise, and technical problem-solving, but lacks the core required skill (C#/.NET development). While they have proven ability to learn new technologies rapidly and build production systems, the job requires hands-on C# experience which creates a critical technical gap. The candidate's operations/systems architecture background doesn't directly transfer to application development and support. **Critical Gaps:** - C# development - candidate has no demonstrated experience in C#/.NET stack, which is the primary technical requirement **Strengths:** - Fluent English (C2 certified - meets requirement) - Strong technical problem-solving and systems thinking - Proven track record of building and supporting production systems with high reliability **Missing Required:** C# application development and troubleshooting, Software development background in statically-typed languages

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Strong operational systems, ERP data-quality and automation background with Brazil localization and fluent Portuguese/English, but lacks the core SAP HCM / SuccessFactors functional and technical payroll experience required for the role. Fast-learner evidence and adjacent ERP experience reduce risk but do not substitute for decade-level SAP HCM/ABAP/S/4HANA expertise. **Strengths:** - Proven ERP data integrity and large-scale data cleanup (TOTVS) with governance - Built automation-first procurement/inventory systems producing measurable operational impact - Bilingual (Portuguese/English) and Brazil-based with domain knowledge in procurement/supply chain **Missing Required:** SAP HCM PY (Brazil Folha de Pagamento), 10+ years SAP HCM functional experience, SuccessFactors integration experience, ABAP Debug and Troubleshooting, S/4 HANA implementation experience

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate demonstrates exceptional systems thinking, automation expertise, and a strong aptitude for self-taught, complex technical projects, which infer advanced programming skills (likely Python) required for the role. His fast-learner track record and intentional career trajectory into AI infrastructure align well with the job's demands for innovation and problem-solving. **Strengths:** - Exceptional problem-solving, systems thinking, and automation expertise demonstrated across diverse projects. - Proven 'Fast Learner' with a strong, intentional career trajectory towards modern technical/AI infrastructure roles. - Strong inferred programming skills (Python) through complex, self-taught projects like LLM clusters and algorithmic trading. **Missing Required:** Explicit declaration of proficiency in a listed object-oriented development language (mitigated by strong inference of Python).

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong transferable skills in systems architecture, automation, data integrity, and a notable capacity for rapid learning, evidenced by self-taught complex systems. However, there is a critical absence of direct experience with the core SAP MII ecosystem, including BLS, Query/Display Templates, and SAP Plant Connectivity (PCo), which are central requirements for this Senior Developer role. While general database and web service integration skills are inferred, the lack of specific industrial protocols and MES software knowledge further reduces the match. **Critical Gaps:** - SAP MII (12.x or 15.x) - BLS and MII Workbench transactions - Query and Display Templates - SAP Plant Connectivity (PCo) **Strengths:** - Strong systems architecture and automation experience across diverse operational domains. - Exceptional self-learner with a proven track record of rapidly acquiring and applying complex technical skills. - Proficient in general database operations, web service integrations, and C2 level English. **Missing Required:** Industrial protocols (OPC DA/UA, Modbus, MQTT), Specific MES software experience

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate demonstrates strong general data engineering, automation, and system-building capabilities with proven proficiency in Python and SQL. However, they critically lack the mandatory domain experience in pharmaceutical and clinical trials, including hands-on experience with specific systems (CTMS, EDC, eTMF) and data standards (CDISC, SDTM) required for this highly specialized role, leading to disqualification. **Critical Gaps:** - Experience in pharma / clinical trials **Strengths:** - Strong automation and data pipeline building experience - Demonstrated proficiency in Python and SQL for complex system development - Proven ability to self-teach and adapt to new technologies quickly **Missing Required:** CTMS, EDC, eTMF, AWS Glue, AWS Airflow, AWS Athena, AWS EMR, Databricks, Spark, CDISC, SDTM, regulated (GxP) environments

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong Python experience through automation, algorithmic trading, and systems engineering, with clear evidence of self-teaching and rapid skill acquisition. While direct experience with Django/Flask/FastAPI and AI agentic workflows is not explicitly stated, the resume shows adjacent skills in automation, system-building, and AI infrastructure, inferring capability to learn and apply these frameworks. The candidate meets all hard requirements except for explicit Python framework and agentic AI tool experience, but their trajectory and fast learner profile mitigate these gaps. **Strengths:** - Python automation and system-building - Self-taught AI infrastructure and trading bots - Intentional career progression toward technical/AI roles **Missing Required:** Direct experience with Python frameworks (Django, Flask, FastAPI), Hands-on experience with AI-assisted/agentic development workflows, Experience with AI engineering tools

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong fit on integrations, ERP data integrity, end-to-end automation and systems architecture with clear stakeholder impact and fast‑learner evidence. Main shortfall is lack of explicit, production-ready experience in the job’s core backend languages (Java/Go/Kotlin/C++/C#). **Strengths:** - Proven ERP/data integrity and integration experience at scale (4k+ records, automated controls) - End-to-end automation and systems architecture delivering measurable business impact - Fast learner with self-taught complex systems (trading, scraping, LLM infra) and strong stakeholder communication **Missing Required:** Proven production experience delivering code in Java/Go/Kotlin/C++/C# (required)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong backend and automation experience, with Python used for system-building and algorithmic trading. While direct experience with agentic AI frameworks and browser extensions is not explicit, the resume shows rapid self-learning, AI infrastructure work, and systems architecture, which infer relevant skills. Node.js and Angular are not directly mentioned, but adjacent experience in automation and system integration is present. **Strengths:** - Python backend and automation - AI infrastructure and systems architecture - Fast learner with proven self-teaching track record **Missing Required:** Direct agentic AI framework experience, Explicit Node.js proficiency, Chrome Extension development

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate demonstrates exceptional experience in building data pipelines, ETL processes, and robust data modeling with significant business impact and scale. While there are gaps in specific Big Data (PySpark) and cloud technologies (Azure, general cloud environments), the candidate's proven ability to rapidly learn and implement complex systems, coupled with a strong career trajectory in technical and data-intensive roles, makes them an outstanding match for the core requirements. **Strengths:** - Extensive practical experience in data pipeline development, ETL, and data modeling with demonstrable business impact. - Proven 'Fast Learner' with a strong track record of self-teaching complex technical domains and building production systems. - Strong foundational understanding of data integrity, automation, and reporting, highly applicable to data engineering. **Missing Required:** PySpark, Cloud Environments (general experience)

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] This is a POOR FIT due to critical skill gaps in required technologies. The role demands a Senior Full-Stack Developer with deep NodeJS/React experience, while the candidate's background is in Operations, Supply Chain, and Systems Architecture without demonstrated frontend/backend development expertise. Although the candidate shows strong systems thinking and automation capabilities, there's no evidence of professional software development in modern web technologies. **Critical Gaps:** - Professional full-stack development experience - candidate's background is Operations/Supply Chain, not software engineering - NodeJS and React expertise - no evidence of modern web framework development - Test-driven development practices - no mention of unit/integration testing experience **Strengths:** - Strong systems thinking and automation mindset - demonstrated through e-commerce workflow automation - Proven fast learner with self-teaching capability - built complex systems without formal programming background - Based in São Paulo with fluent English/Portuguese - meets location and language requirements **Missing Required:** Solid NodeJS experience, Strong React experience, Software architecture (microservices, event-driven), Relational/NoSQL database expertise (MariaDB, MySQL, MongoDB), Cloud environment experience (AWS/GCP/Azure), CI/CD pipeline implementation, Automated testing (unit, integration, e2e), OOP, SOLID, Clean Code practices, API development (REST/GraphQL), Web security practices

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] You are strong on operations, automation, data integrity, and financial/quantitative analysis, which aligns with the team's focus on efficient, automated back-office processes. However, the role is a controllership/accounting position centered on accounting for financial instruments and IFRS 9, and your resume lacks explicit accounting qualifications, standards knowledge, and hands-on financial statement work. This makes you a partial but not core fit for the specific controllership mandate. **Critical Gaps:** - No demonstrated accounting for financial instruments and investment funds under IFRS 9, which is central to a controllership role in a financial institution **Strengths:** - Strong track record of automating and improving back-office and operational systems, directly relevant to the team's automation focus - Proven data integrity, forecasting, and reporting capabilities, including ERP data cleanup and custom reporting logic - High analytical ability and fast-learning profile with advanced Excel/VBA and demonstrated self-teaching in complex technical domains **Missing Required:** Strong knowledge of accounting for financial instruments (e.g., fixed income, derivatives, structured products) and investment funds, Understanding of key accounting standards and regulations including IFRS 9, Formal education/background in Accounting or Business Administration, Clear experience executing core accounting tasks for financial institutions (reconciliations, journal entries, financial statement preparation, regulatory reporting)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong AI infrastructure experience, enterprise operations leadership, and a proven ability to drive change and build systems from scratch. Communication, training, and cross-functional collaboration are evidenced through executive engagement, governance cadence, and clear reporting. While direct experience with Microsoft 365 Copilot is missing, adjacent AI tools and rapid self-learning mitigate this gap; community building and L&D are present via operational enablement and stakeholder management. **Strengths:** - AI/automation leadership - Executive communication and reporting - Rapid self-learning and enablement

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate demonstrates exceptional experience in IT infrastructure, security, process automation, and leadership, aligning strongly with the role's responsibilities and required hard skills. Despite a lack of explicit AWS experience on the resume, their comprehensive background in building complex automated systems and active pursuit of AWS certification suggests rapid skill acquisition. Their fast-learner profile and career trajectory make them an outstanding fit. **Strengths:** - Strong IT Operations & Infrastructure Leadership: Demonstrated ability to lead and manage IT infrastructure, processes, and operations, including for large-scale environments and as a founder. - Profound Security & Risk Management Expertise: Extensive experience in governance frameworks, risk management, and implementing systemic controls crucial for information security and compliance. - Advanced Automation & Systems Architecture: Proven track record in designing and deploying complex automation-first systems and rapid prototyping, showcasing strong systems thinking and execution. **Missing Required:** Conhecimentos básicos de AWS (IAM, contas, acessos, noções de segurança)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate has a strong background in general automation, systems architecture, and demonstrated exceptional ability in AI infrastructure, aligning well with the job's emphasis on AI tools. While lacking direct experience with Playwright and TypeScript for test automation, his proven fast-learning capability and experience building custom systems suggest a high potential to quickly acquire these skills. **Strengths:** - Exceptional experience with AI infrastructure and leveraging AI tools (self-hosted LLM clusters). - Strong background in automation design, systems thinking, and building custom frameworks/utilities. - Proven fast learner with a clear career trajectory towards technical and AI roles. **Missing Required:** Playwright (UI and API automated tests), TypeScript, 2+ years of experience as Quality Assurance Engineer or Test Automation Engineer (specific title)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong match on operations, systems architecture, stakeholder communication, and fluent English with clear evidence of fast learning and building production automation; these map well to customer success tasks like onboarding and governance. Primary weakness is lack of an advanced Life Sciences degree and limited explicit experience with faculty/academic outreach and conference presentations, which reduces alignment for this academic-facing role. **Strengths:** - Proven operator who builds automation-first procurement and inventory systems at production scale - Strong written and verbal communication with C-level and cross-functional stakeholders - Demonstrated fast learner who has delivered complex technical systems end-to-end **Missing Required:** Master's degree or PhD in Life Science disciplines

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong operational systems background with proven ability to build, maintain, and improve technical processes. Candidate demonstrates the core competencies (systems thinking, troubleshooting, process improvement, stakeholder collaboration) and has relevant tool experience. The 'Fast Learner' profile and self-taught technical progression strongly support the jump to IT coordination. Main gap is the specific web development skills (HTML/CSS/JS), though the candidate's track record of rapid technical acquisition mitigates this concern. **Strengths:** - Exceptional systems thinking and process improvement track record (ERP cleanup, automation pipelines, recurring issue prevention) - Strong stakeholder collaboration skills across technical and executive levels, proven ability to translate requirements into implementation - Proven 'support + improve' mindset with concrete examples (fixed ERP issues outside job scope, built controls to prevent recurrence, specified validation logic)

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is disqualified primarily due to not meeting the geographic requirement for a hybrid role in Florianópolis. Additionally, there's a critical gap in direct UX Quality and usability testing experience. **Critical Gaps:** - Experiência comprovada em testes de software, com foco em Qualidade UX e usabilidade **Strengths:** - Strong analytical and detail-oriented profile with a focus on data integrity and process optimization. - Excellent communication skills, bridging technical and executive stakeholders. - Proven fast learner and self-starter with a track record of building complex systems without formal background. **Missing Required:** Conhecimento de metodologias ágeis e ferramentas de gestão de bugs (Jira, Trello, etc.)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: claude-sonnet-4.5] Candidate has strong transferable skills in cost optimization, automation, and data analysis from e-commerce/supply chain operations, plus demonstrated ability to self-teach complex technical domains. However, lacks direct AWS cloud experience, FinOps certification, and core required technologies (Cloudability, Python/SQL for cost analysis, IaC tools). The 'Fast Learner' profile and systems thinking approach partially offset the AWS knowledge gap, but this remains a critical missing requirement. **Critical Gaps:** - No AWS cloud infrastructure experience - job requires deep AWS billing/cost management expertise **Strengths:** - Proven cost optimization and ROI analysis skills from e-commerce operations (directly transferable to cloud FinOps) - Strong automation and systems architecture background with data-driven decision making - Demonstrated rapid learning ability and self-teaching complex technical domains (trading algorithms, AI infrastructure) **Missing Required:** AWS Billing: Cost Explorer, Budgets, Organizations, multi-account, FinOps: Inform, Optimize, Operate phases, SQL/Python for cost data analysis and automation, Cloudability experience

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents a strong profile in systems architecture, engineering, and business operations, demonstrating advanced technical and leadership capabilities. However, there is a critical gap as the resume shows no direct experience or academic background as an educational advisor or in the education sector, specifically lacking knowledge of national curricula (BNCC), which are fundamental requirements for this role. While fluent in English and possessing strong transferable soft skills and a proven fast-learner track record, the core domain mismatch significantly reduces suitability. **Critical Gaps:** - Core domain knowledge and experience in education/educational advising - Knowledge of national curricula (BNCC) **Strengths:** - Fluent English (C2 Certified) - Proven Fast Learner and highly adaptable - Strong transferable communication and relationship-building skills **Missing Required:** Educational advising experience for fundamental II and high school students, Knowledge and experience with national curricula (BNCC)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5-mini] Candidate demonstrates strong executive-level reporting, stakeholder communication, and multi-project operational delivery but lacks formal education and explicit experience in institutional communication/press advisory. Good fit for internal reporting and governance communications, weaker for press-facing, media and spokesperson responsibilities. **Strengths:** - Proven ability to produce executive reports and align C-level stakeholders - Strong operational systems thinking and end-to-end automation delivering measurable outcomes - Fast learner with demonstrated delivery of technical projects and clear concise executive summaries **Missing Required:** Formal education in Communication/Jornalism/PR/Marketing or clearly related field, Demonstrable experience in institutional communication / press advisory (public/media-facing)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong capabilities in systems architecture, automation, and data analytics within operational and financial contexts. However, the role is for a Sr. Media & Performance Analyst, requiring direct experience with digital marketing campaigns (Google, Meta) and a marketing background, which are absent from the candidate's profile. Despite significant transferable analytical skills and a 'fast learner' bonus, the core domain expertise for this specific marketing role is a critical gap. **Critical Gaps:** - Direct experience with digital marketing / paid media campaign management. - Formal education/professional background in marketing or related fields. **Strengths:** - Strong analytical and data-driven problem-solving skills across various domains. - Proven ability in systems architecture, automation, and building resilient systems. - Highly adaptable, self-taught, and capable of rapid prototyping (Fast Learner evidence). **Missing Required:** Formação em marketing ou áreas correlatas, Experiência comprovada com campanhas de Google e Meta, Conhecimento avançado de Analytics e plataformas de métricas e análises de resultados (marketing-specific), Planejamento, execução e gestão de campanhas pagas em Google, Facebook, Kwai, Twitter e LinkedIn, Briefing de materiais junto à equipe de criação, Interface junto à equipe de TI para implementação de tags e ajustes de pixels, Monitoramento de tendências e oportunidades, Acompanhamento diário de campanhas e mapeamento de otimizações, Gestão de budget da área e reports de resultados

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate's extensive background is in systems architecture, operations, and AI infrastructure, which is a completely different domain from the legal profession required. There is no demonstrable experience in banking or civil law, or legal procedural tasks. Additionally, the candidate's location in São Paulo does not match the on-site requirement in Birigui/SP. **Critical Gaps:** - Legal domain expertise - Banking or Civil Law experience - Geographic mismatch (São Paulo vs. Birigui/SP) **Missing Required:** Experiência em direito bancário ou civil, Formatação de documentos (legal), Elaboração de peças, Revisão de contratos bancários, Análise de risco (legal), Audiência, Protocolo (legal), Excelente comunicação escrita e oral (legal context)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates a strong foundational understanding and practical application of data engineering concepts, automation, and systems architecture, evidenced by their career progression and project impact. However, the candidate lacks direct experience with several core required technologies for this specific role, including Talend, Jenkins, specific AWS data services (S3, Redshift, Athena), Databricks, and BI tools like Quicksight/Tableau. While a proven fast learner, the absence of these essential tools significantly diminishes the overall match for this position. **Strengths:** - Strong conceptual and practical experience in data integrity, automation, and systems architecture - Demonstrated 'Fast Learner' ability with a track record of self-taught complex technical implementations - Proven capacity to bridge business needs with technical solutions and deliver end-to-end projects **Missing Required:** Talend, Jenkins, AWS services (S3, Redshift, Athena), Quicksight, Tableau, Databricks

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] The candidate demonstrates extensive experience managing complex projects at the intersection of operations, technology, and business, with a strong record of stakeholder communication, risk management, and executive reporting. Their career progression shows increasing responsibility and direct alignment with the strategic, organizational, and relational demands of the role. No critical gaps or missing required skills; only minor lack of direct event-industry experience, which is not a hard requirement. **Strengths:** - Gestão de projetos complexos com múltiplos stakeholders - Comunicação clara e produção de relatórios executivos - Capacidade comprovada de mediação, organização e entrega estratégica