[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong profile for a Staff Data Engineer, demonstrating deep architectural understanding, proven data quality/governance experience, and excellent client-facing communication. While specific modern data stack tool experience (Snowflake, DBT, Airflow/Prefect/Dagster) and 'solid' cloud platform experience are missing, the candidate's track record of building complex, data-driven automation systems and rapid self-teaching capability indicates a high potential for success after onboarding. **Strengths:** - Data Architecture & Pipeline Design Principles - Client-Facing Communication & Stakeholder Management - Data Quality, Governance & Observability **Missing Required:** Solid experience with at least one cloud ecosystem (AWS, GCP or Azure), Experience with Snowflake, Databricks, BigQuery or similar, Experience with DBT, Experience with Airflow / Prefect / Dagster

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong competencies in supply chain management, general ERP systems (TOTVS), data-driven automation, and a proven ability to rapidly acquire new skills. However, the job specifically requires direct experience with core SAP technologies (IBP, CI-DS, ABAP, BW), which are entirely absent from the candidate's background, creating a critical technical mismatch despite domain relevance. **Critical Gaps:** - SAP IBP (configuração, testes e suporte) - SAP CI-DS para integrações - Noções de ABAP - Noções de BW **Strengths:** - Extensive experience in Supply Chain Planning and ERP processes (via TOTVS, MIT MicroMasters). - Strong capabilities in systems architecture, automation, and data analysis. - Demonstrated 'Fast Learner' ability and a clear career progression towards technical roles.

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates a deep understanding of supply chain processes, excellent communication, and a strong track record as a fast learner and systems architect. However, there is a critical absence of direct experience with Power BI, DAX, Power Query, and related Power BI development skills, which are the core technical requirements for this role. **Critical Gaps:** - Power BI Development (core tool and associated skills) **Strengths:** - Deep understanding of Supply Chain processes and KPIs - Proven track record as a fast learner and systems builder - Strong experience in automation and improving operational efficiency **Missing Required:** 5-7 years of Power BI experience, SQL, Cloud data platforms (Azure Synapse, Snowflake)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] You are strong on data analysis, KPI-driven operations, stakeholder communication, and SOP-style documentation, and you fully meet the English/Portuguese language requirements. However, you lack direct IT service management experience and hands-on exposure to desktop operations, IT asset management, conference room operations, and ITIL/PMP, which are central to this role. Overall this is a partial but not direct match, relying heavily on transferable operations experience rather than true ITSM background. **Strengths:** - Strong data analysis and metric-driven operations background aligned with service management via KPIs - Proven experience working with executives and producing clear, structured reporting and communication - Track record of designing and documenting operational processes and controls (SOP-style) in complex environments **Missing Required:** Direct IT service management experience, Hands-on desktop support and endpoint operations, Familiarity with IT asset lifecycle management, Experience with conference room A/V and meeting-room IT operations, Working knowledge of ITIL methodology and processes

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: gpt-5.1] The role requires a seasoned Data Engineer with 3+ years of Databricks and Python, while your background is primarily in operations, procurement, and systems/automation with no explicit data engineering, Databricks, or Python experience. You do strongly meet the English requirement and show strong analytical/automation capability, but the hard technical stack and likely Portugal-based hybrid presence are not met. **Critical Gaps:** - Core Data Engineering background (role is data-engineer-focused; candidate is operations/systems/analytics-focused) - 3+ years Databricks experience - 3+ years Python experience - Hybrid/on-site work in Portugal (candidate currently based in Brazil with no relocation/work-authorization context) **Strengths:** - Fluent English (C2 level, exceeds B2 requirement) - Strong background in operations analytics and process automation that is adjacent to data work - Proven ability to translate business requirements into structured execution logic and reporting **Missing Required:** At least 4 years of professional experience as a Data Engineer, At least 3 years of professional experience with Databricks, At least 3 years of professional experience with Python, Portugal-based or able to work hybrid in Portugal (implied by hybrid working model; not evidenced in resume)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong match, demonstrating extensive experience in building automated systems, managing data integrity, and defining reporting logic, which are core to an Analytics Engineer role. Their strong inferred Python, SQL, ETL/ELT, and data modeling skills, coupled with a proven fast-learner mindset and relevant career trajectory, outweigh the lack of explicit experience with specific data warehousing and visualization tools. **Strengths:** - Proven ability to design and implement robust data-driven automation and reporting systems. - Exceptional communication and stakeholder management, bridging technical and business needs. - Demonstrated fast-learner, self-starter, and strategic thinker with highly relevant career progression. **Missing Required:** Explicit experience with specific data lake/Snowflake ecosystem reporting tools

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] You have strong systems/operations design, data quality, and reporting experience plus excellent English and an engineering degree, which align with the role’s need for someone who can translate business requirements into workflow and reporting logic. However, you lack direct Workfront/Workfront Fusion and Adobe ecosystem experience, as well as explicit project management system administration background, which are central to this position. This makes you a promising fast-learner but not an immediately plug-and-play Senior Workfront Configuration Engineer. **Strengths:** - Proven ability to design and automate complex operational workflows and data-driven systems (ERP, procurement, inventory, and reporting). - Strong business–technical bridge skills, translating financial/operations requirements into executable logic and clear specifications for engineers. - High analytical rigor and focus on data quality, KPIs, and validation rules, combined with C2-level English and an engineering background. **Missing Required:** Hands-on Workfront configuration and instance design experience, 5+ years designing, implementing, and supporting project management systems (Workfront or similar), 1+ years of Workfront Fusion experience, Demonstrated experience integrating Workfront with Adobe platforms (AEM, AEP, Marketo, Adobe Firefly)

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: gpt-5.1] You have strong experience in process automation, data integrity, and business–technical bridging, including in financial contexts, but the role requires 3–5 years of hands-on Power Platform (Power Pages/Power Apps/Power Automate/Power BI/Dataverse/Azure SQL) experience that is not present or inferable from your resume. Your background suggests you could learn this stack quickly, yet the lack of explicit Microsoft Power Platform and Azure identity/web-portal experience would likely cause an ATS to down-rank you for this specific opening. **Critical Gaps:** - Experiência prática de 3–5 anos desenvolvendo soluções completas em Power Platform (especialmente Power Pages e Power Apps) - Desenvolvimento de portais Power Pages (internos/externos) com autenticação segura via Azure AD/Microsoft 365 e Dataverse/Azure SQL como backend **Strengths:** - Forte capacidade de traduzir processos de negócio complexos em sistemas automatizados com dados confiáveis e KPIs claros - Experiência sólida em governança de dados, validação de regras de negócio e saneamento de ERP em contextos de supply chain e operações - Histórico consistente de autoaprendizagem em temas técnicos avançados (trading algorítmico, scraping, sistemas de scoring) aliado a fluência em inglês e atuação em setores financeiros **Missing Required:** Experiência prática de 3–5 anos com Power Platform, Criação e configuração de portais no Power Pages, Construção de formulários, telas e experiências baseadas em perfis de acesso (Dataverse), Integração de dashboards Power BI diretamente em portais, Desenvolvimento de fluxos no Power Automate para processos, aprovações e notificações, Conexão de dados a Dataverse, Azure SQL, SharePoint e APIs REST usando Power Platform, Conhecimento aplicado de Azure SQL em contexto Power Platform, Uso de Azure AD/Microsoft 365 para autenticação e controle de acesso em portais, Uso de Power Fx para lógica em Power Apps/Power Pages, Práticas de ALM/DevOps específicas da Power Platform, HTML/CSS/JavaScript aplicados ao desenvolvimento de portais Power Pages

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong transferable skills in systems architecture, process automation, and ERP concepts with a proven ability to learn new technologies quickly. However, there are significant critical gaps in direct experience with Dynamics 365 ERP, its specific F&O modules (GL, Billing), and the core programming languages (X++, C#, .Net, C++, JavaScript) explicitly required for this developer role. The job specifically asks for 5+ years of experience in these technologies, which the candidate lacks. **Critical Gaps:** - 5+ Years of experience working with Dynamics 365 ERP (Finance & Operations modules – GL, Billing) - Proficiency in X++, C#, .Net; C++ **Strengths:** - Strong business-technical bridging capabilities and systems architecture mindset. - Proven track record in automation and process optimization with ERP conceptual understanding. - Exceptional learning agility and problem-solving skills demonstrated by self-taught complex systems. **Missing Required:** Experience with Power Platform (Power Apps, Power Automate), Proficiency in JavaScript for customizations and integrations

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong match for the Backend Product Engineer role, demonstrating excellent aptitude, a career trajectory aligned with technical systems in relevant domains (finance, operations), and a proven ability to build and operate complex systems. While direct experience with the specific tech stack (.NET, C#, Terraform, Kubernetes) is absent, the job description explicitly prioritizes eagerness to learn, which is strongly evidenced by the candidate's 'Fast Learner' profile and self-taught expertise. **Strengths:** - Strong adaptable engineering prowess & problem-solving (Technically Excellent, Intellectually Rigorous, Relentlessly Resourceful) - Highly relevant domain experience in finance and operations with a clear technical career trajectory - Proven 'Fast Learner' with a track record of building complex production systems from scratch **Missing Required:** Direct experience with .NET, Direct experience with C#, Direct experience with Terraform, Direct experience with Kubernetes

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is a strong match, demonstrating extensive experience in procurement, inventory, and establishing operational systems relevant to hardware asset management, especially across multiple branches and within the Brazilian context. While excelling in core requirements, minor gaps exist in explicit mentions of reverse logistics, specific Brazilian carriers, and certain nice-to-have certifications. **Strengths:** - Extensive experience in procurement, inventory management, and operational system building across distributed environments, including IT procurement and ERP data integrity. - Strong analytical and problem-solving skills, with a proven track record of rapid system delivery and process automation, directly applicable to establishing asset management systems. - Bilingual proficiency (Portuguese, English) and located in Brazil, providing crucial local context for logistics, coupled with a demonstrated 'Fast Learner' ability to acquire new technical skills. **Missing Required:** Explicit experience in 'Recycling' and 'Scrapping' aspects of HAM lifecycle, Explicit experience building 'reverse logistics systems' and familiarity with specific local carriers like 'Correios' or 'Loggi'

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4.5] This is a severe mismatch. The role requires 8+ years of Dynamics 365 Business Central development with AL/C/AL programming expertise—a highly specialized ERP development position. The candidate has strong operations/systems architecture experience with ERP data management (TOTVS) and business process automation, but zero demonstrated software development background in any Microsoft stack, no AL/C/AL programming, and no Dynamics 365 exposure. While the candidate shows technical aptitude and fast-learning capability, the 8-year development experience requirement for a specialized platform makes this functionally disqualifying. **Critical Gaps:** - Zero software development background in any Microsoft stack—role requires 8+ years of Dynamics 365 Business Central development - No AL or C/AL programming experience—core requirement for the position - No demonstrated software engineering/coding background—candidate's technical work is operations/automation, not development **Strengths:** - Strong ERP operations experience with TOTVS—understands ERP data structures, validation rules, and reporting logic at a systems level - Proven supply chain and finance domain expertise—directly relevant to Business Central modules (finance, supply chain, manufacturing) - Excellent stakeholder management and requirements translation—critical for developer role interfacing with business users **Missing Required:** 8+ years Dynamics 365 Business Central development experience, AL development and C/AL programming, Business Central customization and extensions, Microsoft stack development experience, Dynamics 365 module expertise, Bachelor's in Computer Science/IT (has Mechatronics Engineering—adjacent but not exact match)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate presents significant transferable skills in systems architecture, automation, data analysis, and general software development, evidenced by their successful projects and 'Fast Learner' bonus. However, they critically lack direct experience with Dynamics 365 Business Central development, AL code, and C/AL programming, which are the core requirements of this role. While many soft skills and general engineering practices align, the fundamental technology gap makes this a weak match. **Critical Gaps:** - Dynamics 365 Business Central development (AL/C/AL) **Strengths:** - Strong Systems Architecture & Automation Experience - Proven Fast Learner and Problem Solver - Excellent Communication & Cross-functional Collaboration **Missing Required:** AL Development, C/AL Programming, Dynamics 365 Business Central Module Specific Understanding, Proficiency in D365 BC Solution Deployment

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: gpt-5-mini] Strong systems-architecture, automation, ERP and data-quality background with proven fast-learning and inferred backend/infra skills, but lacks the core C#/XAML UI stack required for this role. The absence of WinForms/MAUI/WPF UI development experience is a significant functional mismatch for a Senior UX-focused C# position. **Critical Gaps:** - C#/XAML-based UI development (WinForms/MAUI/WPF) - blocking for this role **Strengths:** - Proven systems architecture and automation-first delivery in production - Enterprise ERP/procurement domain knowledge with strong data-quality impact - Fast learner with self-taught complex projects (quant trading, infra) and strong stakeholder communication **Missing Required:** Demonstrated professional C# and XAML experience, WinForms and MAUI implementations, 5+ years of C#/XAML UI engineering in SaaS/enterprise contexts

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate is a strong systems architect with extensive experience in automation, data integrity, and building resilient systems, aligning well with the core responsibilities. They demonstrate exceptional learning ability and a clear career trajectory towards technical leadership. While strong in several areas, there are notable gaps in explicit experience with modern architectural patterns (event-based, microservices, clean architecture) and specific observability tools. **Strengths:** - Robust Systems Architecture & Automation (end-to-end automation, measurable & resilient systems, defensive development). - Business-Technical Bridge & Strategic Leadership (Head of Engineering experience, ROI focus, executive communication). - Exceptional Adaptability & Problem Solving (proven self-learner, rapid prototyping, refining complex problems into scalable solutions). **Missing Required:** Event-based architecture, Clean Architecture, Microservices, APM (e.g., Newrelic, Instana), Code Instrumentation, Observability tools (explicit), Hands-on Cloud experience (beyond certification in progress)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong understanding and experience with TOTVS ERP and database systems, coupled with a 'Fast Learner' profile and relevant engineering background. However, direct experience in ADVPL development, a core requirement for this developer role, is not explicitly stated in the resume. This makes it a weak match for the position. **Critical Gaps:** - Explicit ADVPL development experience **Strengths:** - Deep familiarity with TOTVS ERP ecosystem and data integrity concepts - Strong 'Fast Learner' and Systems Thinking capabilities - Extensive practical database knowledge and application **Missing Required:** Desenvolvimento ADVPL, Atuação prévia com Linguagem ADVPL

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-5.1] Very strong match on analytical background, digital/fintech-style experience, and Brazil/Portuguese/English requirements, with clear evidence of using data to drive decisions and communicate with stakeholders. Career trajectory from finance/procurement into systems and analytics aligns well with a product analyst role, though explicit product-metrics (funnels, cohorts, LTV) and sportsbook-specific experience are less directly demonstrated. Overall, the profile should perform well in an ATS for this role with minor gaps mainly around explicit product analytics terminology and sports-betting domain signals. **Strengths:** - Proven history of using data, forecasting, and quantitative logic to drive operational and business decisions across finance, supply chain, and digital environments. - Experience in digital and fintech-like domains (e-commerce automation, crypto trading, quantitative development) that is adjacent to sportsbook analytics. - Strong communication and ‘business–technical bridge’ capability, translating requirements into system logic and producing clear reports and KPIs for stakeholders. **Missing Required:** Explicit experience with product metrics such as funnels, cohorts, retention, LTV, and conversion (only partially inferable from KPIs and forecasting work), Explicit experience analyzing sportsbook or gaming products (candidate has adjacent trading/fintech and e-commerce experience instead)

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong background in business-to-technical translation, data-driven system architecture, and process automation, aligning well with the core responsibilities of a Business Analyst. Their extensive project work strongly infers proficiency in SQL, cloud platforms, data modeling, ETL, statistical analysis, and machine learning concepts. While the candidate exhibits a 'fast learner' profile and relevant career trajectory, direct experience with specific data visualization tools (Power BI, Tableau) and explicit mention of Agile/Scrum methodologies are missing, leading to deductions. **Strengths:** - Business-Technical Translation & Stakeholder Management - Data-Driven System Design & Automation - Rapid Learner & Diverse Technical Acumen **Missing Required:** Data visualization tools (e.g., Power BI, Tableau), Agile/Scrum methodologies

[ANALYSIS_REPORT] **DISQUALIFIED** [Copilot: claude-sonnet-4] This is a poor fit - the candidate is a Systems Architect/Operations specialist with extensive backend/automation experience, but the role requires Product Design expertise including UI/UX design fundamentals, visual design skills, and design portfolio work. These are completely different domains with no transferable skills. **Critical Gaps:** - Product Design - BLOCKING - UI/UX Design fundamentals - BLOCKING - Visual design portfolio - BLOCKING **Strengths:** - Technical systems background - Business-technical bridge capabilities - Strong analytical thinking **Missing Required:** Self-initiated design project/portfolio, Visual design fundamentals, Interaction design skills, Design tool proficiency

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate presents a strong profile in systems architecture, automation, and problem-solving, with a 'fast learner' aptitude and relevant career trajectory. However, there are critical gaps in specific, mandatory platform technologies like Kubernetes and Istio Service Mesh, which are core requirements for this Staff Platform Engineer role. While transferable skills and mindset are strong, these foundational technical gaps lead to a lower match score. **Critical Gaps:** - Kubernetes - Istio Service Mesh **Strengths:** - Strong analytical and problem-solving skills, with a proven track record of building and automating complex systems and processes. - Exceptional communication and leadership abilities, capable of translating technical requirements and driving alignment with stakeholders. - Demonstrated 'fast learner' with an infrastructure-first, systems thinking mindset, rapidly acquiring new skills to deliver production-ready solutions (e.g., self-hosted LLM clusters, algorithmic trading bots). **Missing Required:** Operator-managed Infrastructure as Code (Crossplane or Kubernetes Operators), CNCF Kubernetes Certifications (CKA, CKS, or CKAD)

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate is a highly capable systems architect and operator with strong analytical, automation, and communication skills, and is a proven fast learner. However, the role is explicitly for a Qualitative Analyst focused on user research (interviews, surveys, usability testing) within digital products. His resume lacks direct experience and transferable skills in this specific domain, representing a critical mismatch in core competencies despite meeting all demographic and language requirements. **Critical Gaps:** - Proven experience in qualitative research, user research, or similar roles - Experience conducting customer interviews, surveys, and usability testing for digital products **Strengths:** - Strong written and verbal communication (Portuguese & English) - Demonstrated ability to learn complex domains rapidly - Located in Brazil, meeting local presence requirement **Missing Required:** Strong ability to synthesize complex qualitative user feedback into actionable product insights, Comfortable working closely with designers (explicitly for product development)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents a strong match for a Software Release Manager II, demonstrating extensive experience in planning, coordination, governance, quality assurance, and communication within complex operational and system-building contexts. While direct experience with specific tools like JIRA is missing, the underlying skills to manage tracking and documentation are clearly inferred from their rapid system delivery and automation-first approach. Their career trajectory and 'Fast Learner' attribute further enhance their suitability. **Strengths:** - Exceptional organizational, communication, and leadership skills, adept at bridging business and technical teams. - Proven expertise in establishing governance, ensuring quality, managing risks, and driving process improvements in complex systems. - Demonstrated ability to rapidly build and deliver complex systems, indicating a strong understanding of system lifecycle and automation principles.

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5.1] You are a strong fit on fundamentals (math, English, systems/automation, finance domain) and inferred AI/LLM infrastructure skills, but you lack explicit experience with the core ML/LLM libraries and data stack named in the job. Modern ATS would likely see you as technically promising yet under-keyworded for a Python/LLM engineer role, requiring upskilling in PyTorch/TensorFlow, data libraries, and LLM orchestration frameworks. Your fast-learning track record and career trajectory toward AI/infra partially compensate for these gaps. **Strengths:** - Base sólida em matemática aplicada, estatística e analytics (Engenharia Mecatrônica + MITx Supply Chain Analytics) alinhada ao requisito de matemática para redes neurais. - Experiência forte em automação de operações, arquitetura de sistemas e governança de dados, o que se traduz bem para MLOps e workflows de ML/LLM. - Histórico consistente de autoaprendizado em áreas complexas (trading algorítmico, AI/LLM infra) indicando alta capacidade de ramp-up em stack Python/ML moderna. **Missing Required:** SQL, PyTorch, TensorFlow, Pandas, NumPy, Scikit-learn, Spark, Fine-tuning de modelos open-source

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] Candidate shows strong systems thinking and automation experience but lacks the core AI/ML technical foundation required. While they demonstrate impressive self-learning capabilities and have built complex automated systems, they have no demonstrable experience with Python, deep learning frameworks, cloud AI services, or generative AI technologies that are fundamental to this role. **Critical Gaps:** - No demonstrated AI/ML experience - No Python programming background - No cloud AI platform experience - No deep learning framework experience **Strengths:** - Strong automation and systems thinking - Proven self-learning ability - Production system building experience **Missing Required:** 6-8 years AI/ML experience, 2+ years Generative AI experience, Python proficiency, TensorFlow experience, Cloud AI services expertise, Agent frameworks experience

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate is an exceptionally strong match for the Operations Analyst role. Their extensive background in systems architecture, automation, and operational process improvement, coupled with a proven fast-learner track record, directly addresses the core requirements. While some technical skills (SQL, programming, APIs) are inferred rather than explicitly listed, the depth and complexity of their demonstrated projects provide compelling evidence of proficiency. **Strengths:** - Exceptional investigative, analytical, and problem-solving capabilities demonstrated through system design and process optimization. - Strong ability to communicate complex technical and operational concepts to diverse stakeholders. - Proven capacity for self-taught technical skill acquisition and rapid system delivery in new domains.

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate demonstrates a very strong background in building and deploying complex data-driven systems, particularly in areas like AI infrastructure, algorithmic trading, and e-commerce automation, highly aligning with the Senior Data Scientist role's focus on MLOps and production pipelines. While specific tools like TensorFlow or Power BI are not explicitly mentioned, the resume infers deep proficiency in underlying concepts and the ability to rapidly acquire new technologies, supported by a strong foundation in statistics and data management. The career trajectory shows intentional progression towards technical and AI roles, making him an excellent fit despite minor explicit tool gaps. **Strengths:** - Extensive experience building and operating automated, data-driven systems end-to-end, demonstrating strong MLOps capabilities and production pipeline expertise. - Proven ability to translate complex business needs into scalable technical solutions with measurable impact, effectively bridging business and engineering stakeholders. - Exceptional self-taught capability and continuous learning mindset in advanced technical domains, including AI infrastructure and algorithmic trading. **Missing Required:** Explicit mention of specific Python libraries (Pandas, NumPy, SciPy, Statsmodels), Explicit mention of specific ML frameworks (Scikit-learn, TensorFlow, PyTorch), Practical experience specifically with AWS (beyond certification in progress)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong experience in systems architecture, operations, and business-technical interfacing, with clear evidence of proposal development and stakeholder engagement. However, there is no direct or inferred experience with NOC/SOC environments or explicit RFP analysis, which are critical requirements for this sales-focused role. The candidate's technical and process skills are strong, but the lack of direct sales and NOC/SOC exposure limits the match. **Critical Gaps:** - NOC/SOC domain experience - BLOCKING **Strengths:** - Business-technical bridge - Process automation and reporting - Stakeholder and executive communication **Missing Required:** Experience in proposals involving NOC|SOC, Direct RFP analysis

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate possesses strong technical skills, problem-solving abilities, and a proven track record of learning complex systems and delivering automation. However, there is a critical gap in direct Level 3 customer software support experience, and essential skills like SQL proficiency and customer service focus are not explicitly demonstrated in the required context. While many strengths align with technical roles, the specific L3 support and customer-facing nature of this position are not a good match. **Critical Gaps:** - 3 to 5 years of Level 3 software support experience **Strengths:** - Strong technical problem-solving and systems architecture background. - Proven self-starter with exceptional learning agility and adaptability (Fast Learner bonus). - Extensive experience in automation, operations, and technical project delivery in dynamic startup environments. **Missing Required:** Basic to intermediate SQL skills, Ability to triage and actively manage a support queue, Innate passion for customer service

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong systems design, architecture, and a production-first mindset through extensive experience in mission-critical automation and data management. However, there is a critical gap in front-end proficiency (React) and the explicit 8+ years of dedicated software engineering experience for a Staff Engineer role is not clearly met, despite a robust technical background and fast-learner capabilities. **Critical Gaps:** - Proficient with React and other front-end technologies **Strengths:** - Strong system design and architecture skills with a production-first mindset - Extensive experience in mission-critical automation, data integrity, and complex operational systems - Proven ability as a fast learner with a clear career trajectory towards advanced technical and AI infrastructure roles **Missing Required:** 8+ years of professional software engineering experience

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong alignment with the role's requirements: deep automation experience, end-to-end system design, and a proven record of leveraging AI and analytics in operations. Advanced English, SQL/relational database work, and a passion for AI/automation are all evidenced, with additional strengths in mentoring and cross-functional collaboration. The main gaps are direct experience with Golang and explicit payments ecosystem knowledge, but the candidate's fast-learner profile and adjacent technical skills mitigate these. **Strengths:** - Automation-first systems design and delivery - AI/analytics-driven process improvement - Proven fast learner with cross-domain expertise

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: gpt-5.1] Strong systems/operations architecture, automation and ownership experience, but no demonstrated hands-on work with the core TypeScript/NestJS/Next.js/Prisma/Tailwind stack, automated testing, or DevOps tools explicitly required. Most strengths are in business–technical bridging, process design, and quantitative analysis rather than full-time product engineering. This would likely be screened out for a mid-level full-stack role that expects deep daily coding in this specific stack. **Critical Gaps:** - Deep, production-grade TypeScript full-stack development (frontend + backend) as primary day-to-day activity - Modern React/Next.js frontend development with TailwindCSS/shadcn/ui in high-traffic products - Automated testing culture with Jest and Playwright across a web application codebase **Strengths:** - Sólido background em arquitetura de sistemas, processos e automação voltada a operações e supply chain - Forte ownership, autonomia e capacidade de comunicação entre negócio e tecnologia - Capacidade comprovada de aprendizado rápido em domínios técnicos complexos e de construir soluções end-to-end **Missing Required:** Domínio avançado de Typescript, Experiência real com NestJS (pipes, guards, interceptors, filters, DI, módulos), Prisma ORM com modelagem madura e queries otimizadas, Next.js (App Router + RSC) em produção, TailwindCSS, shadcn/ui, Testes automatizados com Jest, Testes E2E com Playwright, Pipelines de CI/CD, Docker (para build/deploy de apps), Deploys em Vercel ou AWS, Experiência comprovada como desenvolvedor full stack em produtos reais de alta transação

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] Critical domain mismatch - candidate has strong technical/operations background but zero marketing experience. This is a senior marketing leadership role requiring performance marketing expertise, which is completely outside candidate's skillset. **Critical Gaps:** - Marketing leadership experience - BLOCKING - Performance marketing experience - BLOCKING - Digital advertising experience - BLOCKING **Strengths:** - Fintech/financial background - Data-driven approach - Business operations experience **Missing Required:** Marketing leadership, Budget management for marketing, Channel optimization, Creative team leadership, Marketing analytics, Campaign management

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: claude-sonnet-4.5] Strong match for Growth Analyst role. Candidate demonstrates proven experience in end-to-end campaign management, KPI tracking, data-driven optimization, and strategic client relationships through e-commerce operations and systems architecture. Excel proficiency, English fluency (C2), and AI tool usage align perfectly. Missing direct digital marketing/adtech experience, but strong transferable skills in demand forecasting, performance analytics, and business-technical translation. **Strengths:** - End-to-end operations management with KPI-driven optimization and automation (direct match to campaign management requirements) - Proven business-technical bridge role with C-level communication and data-driven insights (matches strategic partner profile) - Excel avançado, English C2, AI tools proficiency, and demonstrated fast learner with self-taught technical capabilities (all exact requirements met) **Missing Required:** Direct experience with digital media or growth marketing campaigns

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] This is a poor fit due to critical skill gaps. The candidate has strong systems thinking and automation experience but lacks the core technical requirements: 7+ years C#/.NET development, SQL Server/Azure SQL expertise, and database ownership experience. The role requires deep Microsoft technology stack knowledge that the candidate has not demonstrated. **Critical Gaps:** - C#/.NET development experience - candidate shows no Microsoft stack background - SQL Server/Azure SQL database ownership - no enterprise database experience shown - 7+ years software development requirement not met **Strengths:** - Strong systems thinking and automation experience - Proven ability to clean and optimize data systems (ERP work) - Cross-functional communication skills with executives **Missing Required:** C#/.NET Core development, SQL Server administration, Azure cloud services, Database performance optimization, RESTful API development, Angular frontend

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong transferable skills in general systems design, automation, and data integrity, supported by a rapid learning ability and a background in engineering. However, the resume lacks direct experience, specialized domain knowledge, and proficiency with critical tools (AutoCAD, Bluebeam) required for low-voltage security system design and estimating. **Critical Gaps:** - Strong proficiency with AutoCAD and Bluebeam Revu - 2–3+ years of experience in security system estimating or low-voltage design - Solid understanding of low-voltage systems, wiring methods, and structured cabling standards (TIA/EIA) - Experience with quoting Access Control, CCTV, Intercom, Door Hardware, and related systems **Strengths:** - Strong general systems and automation design capabilities - Proven self-learner and highly adaptable (Engineering background, MIT MicroMasters, diverse project experience) - Excellent communication and organizational skills (Office 365 proficiency, C2 English, clear reporting) **Missing Required:** Proven ability to read and interpret construction drawings and tender documents (specific to low-voltage security domain)

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-5.1] You bring strong analytical/root-cause skills, excellent English, and solid experience in IT/operations environments, but lack explicit, recent hands-on software QA roles. The resume does not show formal manual testing practice, API/Postman/JSON testing, or mobile testing experience, which are core to this role. ATS-style systems would likely see you as a capable technical/ops profile with partial overlap rather than a dedicated QA professional. **Strengths:** - Very strong analytical thinking and root-cause investigation demonstrated through ERP data integrity and trading strategy work - Excellent written and verbal English communication and ability to bridge between business stakeholders and technical teams - Proven fast learner with experience designing and operating automated systems in IT/operations environments **Missing Required:** explicit 2+ years in software quality assurance, formal manual testing background in software products, knowledge and practice of QA methodologies, processes, and tools, hands-on API testing using tools such as Postman, proficient API/JSON testing skills

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates exceptional analytical, organizational, and problem-solving skills, coupled with a strong track record as a fast learner in complex technical domains such as data analysis, reporting, and automation. However, a critical gap exists in direct experience with paid media campaign management (Google Ads, Meta Ads), which is central to this role, and specific project management tool experience (ClickUp, Notion) is missing. **Critical Gaps:** - Paid Media Management (Google Ads, Meta Ads, other digital advertising channels) **Strengths:** - Exceptional data analysis, reporting, budgeting, and forecasting capabilities. - Strong organizational, analytical, and problem-solving skills with meticulous attention to detail. - Proven track record as a fast learner and self-starter in complex technical domains. **Missing Required:** 2+ years of experience in paid media management, Experienced in using project management tools (ClickUp & Notion)

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates exceptional analytical, automation, and strategic communication skills from extensive experience in systems architecture and operations. However, there is a significant critical gap in direct marketing expertise, including digital marketing, inbound strategies, paid traffic management, and marketing content creation, which are central to this role. While transferable skills and a fast-learner profile are evident, the core domain knowledge for a Marketing Coordinator is largely absent. **Critical Gaps:** - Marketing Strategy & Leadership - Digital Marketing & Performance (Inbound, Paid Traffic, Conversion Funnel Optimization) - Content & Brand Management **Strengths:** - Exceptional analytical capacity and results orientation, with proven metric-driven system design. - Profound expertise in automation, systems architecture, and leveraging advanced technology, including AI infrastructure. - Demonstrated fast-learner profile with a track record of self-education and building complex systems from scratch, coupled with strong strategic and executive communication skills. **Missing Required:** Proven experience as marketing coordinator or leader, Strong experience in digital marketing, inbound, and performance, Excellent written communication (specifically for marketing content/copy), Experience working closely with sales teams (in a marketing integration context)

[ANALYSIS_REPORT] **STRONG_MATCH** [G2.5 Flash] The candidate presents an exceptional match for the Senior Consultant - Treasury role. They demonstrate strong functional leadership in system implementations, deep expertise in financial risk and forecasting, and a proven track record in automating complex operational systems, all highly relevant to treasury consulting. Their fast-learner profile and relevant career trajectory further enhance their suitability. **Strengths:** - Strong functional leadership and system implementation expertise for treasury workstreams - Deep understanding and application of financial risk management and forecasting - Proven ability to build and automate complex operational systems effectively

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is disqualified because the job description explicitly states 'THIS VACANCY IS FOR CANDIDATES WITH UX/UI/DESIGNERS BACKGROUND ONLY'. The candidate's resume shows no background or experience in UX/UI design or product design, which is a critical hard filter for this role. **Critical Gaps:** - UX/UI/Designers Background - Product Designer experience - Figma - Framer - UX/UI design principles and processes **Missing Required:** Solid experience as a Product Designer, Familiarity with UX/UI design principles and processes

[ANALYSIS_REPORT] **DISQUALIFIED** [G2.5 Flash] The candidate is automatically disqualified because they do not meet the explicit language requirement for Intermediate Spanish, which is stated as necessary for conducting meetings. While the candidate demonstrates significant technical acumen and a strong career trajectory towards systems architecture and automation, the absence of this specific language skill is a hard filter for the role. **Strengths:** - Strong background in Systems Architecture and Automation, with 10+ years of experience. - Proven ability for rapid prototyping and self-teaching complex technical domains (e.g., AI infrastructure, algorithmic trading), demonstrating 'Fast Learner' bonus qualities. - Extensive experience in data integrity, ERP systems, and end-to-end system implementations, including requirements gathering and stakeholder communication. **Missing Required:** Espanhol Intermediário - capaz de realizar reuniões em espanhol., Experiência comprovada com soluções IAM (ex: Ping Identity), Conhecimento avançado em protocolos de autenticação: OpenID Connect, OAuth 2.0,SAML 2.0, Experiência com práticas de DevSecOps, Conhecimento em desenvolvimento ou leitura de código Java

[ANALYSIS_REPORT] **POOR_FIT** [G2.5 Flash] The candidate demonstrates strong data-driven, autonomous, and systems-thinking capabilities with a clear career progression towards AI infrastructure. However, there are critical gaps in the required expert-level proficiency with React/TypeScript and Python/Django, which are fundamental to the Fullstack Product Engineer role. The resume does not explicitly mention these core development technologies. **Critical Gaps:** - Expert React (TypeScript) skills - Expert Python (Django) skills **Strengths:** - Strong Data-Driven Mindset and Operational Excellence - High Autonomy and Demonstrated Startup Velocity - Proven Systems Thinking and AI Infrastructure Building Capability **Missing Required:** PostgreSQL, Computer Vision, Video Processing

[ANALYSIS_REPORT] **WEAK_MATCH** [G2.5 Flash] The candidate demonstrates strong general technical, analytical, and leadership skills, including inferred scripting and Linux experience. However, there is a significant and fundamental gap in proven experience with the core Ping Identity solutions (PingFederate, PingDirectory, PingID) and foundational IAM principles and protocols that are explicitly required for this specialist role, leading to a weak match. **Strengths:** - Strong Analytical and Problem-Solving Skills: Demonstrated ability to convert complex operational issues into structured systems and solutions. - Systems Thinking & Automation Expertise: Proven track record in designing and implementing automation-first solutions and rapidly building production-level systems. - Leadership & Communication: Experienced in leading technical initiatives, managing cross-functional teams, and effectively communicating with diverse stakeholders. **Missing Required:** Proven experience with PingFederate, Proven experience with PingDirectory, Proven experience with PingID, Strong understanding of identity and access management (IAM) principles, Knowledge of security, network, AuthN and AuthZ protocols and their best practices

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong experience in operations, systems architecture, and technical-business bridging, with a proven track record of managing executive relationships and delivering technical solutions. While direct cybersecurity experience is not explicit, the candidate's background in risk logic, automation, and data integrity, combined with fast learning and technical adaptability, infers many adjacent and foundational skills relevant to the role. The main gap is hands-on cybersecurity incident response, but the candidate's trajectory and technical breadth make them a strong fit for a customer-facing, technical account management role in a security context. **Strengths:** - Executive and technical stakeholder management - Process/system automation and data reliability - Fast learner with proven technical upskilling

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate demonstrates strong technical leadership, significant experience building complex operational and data ingestion systems, and a highly relevant career trajectory. However, there's a critical gap in explicit or strongly inferred experience with TypeScript/Node.js, which is the core technology for the platform migration this lead role is responsible for. **Critical Gaps:** - TypeScript/Node.js (Core migration technology) **Strengths:** - Technical Leadership & Mentorship - Building High-Reliability Data Ingestion/Operational Systems - Strong System Design & Problem-Solving Aptitude **Missing Required:** TypeScript, Node.js

[ANALYSIS_REPORT] **GOOD_MATCH** [G2.5 Flash] The candidate presents a strong profile as a Systems Architect with extensive backend and infrastructure experience, directly aligning with API, business rules, and integration development. While specific technologies like NGINX, Cloudflare, Redis, and MongoDB are not explicitly mentioned, the candidate's proven ability to build complex, automated systems and a 'fast learner' track record suggest adaptability. The primary gap is in frontend skills (Vue.js/Nuxt), though the role emphasizes backend. **Critical Gaps:** - Vue.js 3 / Nuxt (Frontend skills, when the role specifies 'maior atuação em Back-end') **Strengths:** - Strong Systems Architecture & Automation Experience - Proven Ability to Build Complex Backend & Infrastructure (e.g., e-commerce, trading bots, scraping systems) - Fast Learner with Documented Self-Teaching & Career Progression **Missing Required:** NGINX, Cloudflare, Redis, MongoDB

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4] Strong operations and systems architecture background with financial domain experience, but lacks the core technical development skills required for this mid-level developer position. While the candidate demonstrates excellent business-technical translation abilities and has relevant financial sector knowledge, they're missing fundamental programming competencies in Node.js, React, and modern development practices. **Critical Gaps:** - Core backend development experience with Node.js - Frontend development with React - Database management (MySQL/MongoDB) - Cloud services implementation (AWS) **Strengths:** - Financial sector domain knowledge - Business-technical bridge expertise - Systems thinking and architecture planning **Missing Required:** Node.js development, JavaScript frameworks, React, MySQL, MongoDB, AWS services, Distributed systems development, Microsserviços architecture

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: claude-sonnet-4.5] The candidate demonstrates strong systems thinking, operational excellence, and technical problem-solving, but lacks the core required skill of C# programming and formal software engineering experience supporting production applications. While the candidate has built automation systems and shows exceptional learning ability, the 2+ years C# requirement and software development focus represent critical gaps that modern ATS systems would flag. **Critical Gaps:** - C# programming language (required, no evidence) - 2+ years software engineering supporting production applications (candidate has operations/systems background, not formal software development) **Strengths:** - Exceptional client communication and C-level stakeholder management (directly matches 'excellent communication' requirement) - Strong analytical and problem-solving ability demonstrated through complex system builds - Finance domain knowledge (reporting, financial instruments context) - highly relevant to FactSet's financial services focus - Bilingual English/Portuguese fluency (meets language requirement) - Engineering degree (meets education requirement) - Proven ability to translate business requirements into technical solutions (matches 'collaborate with cross-functional stakeholders') **Missing Required:** C# programming proficiency, HTML knowledge, 2+ years as software engineer supporting production apps

[ANALYSIS_REPORT] **POOR_FIT** [Copilot: gpt-5.1] You have strong analytical, operations, and business–technical bridging experience with relevant supply chain domain exposure, but your resume does not show hands-on Python or AI/ML engineering, which are core to this role. The job emphasizes production-grade AI application development, ML frameworks, and cloud-native deployment, while your experience is centered on process automation, analytics, and systems/operations design. This creates several critical technical gaps despite clear learning ability and relevant domain background. **Critical Gaps:** - Hands-on development and deployment of AI-driven applications in production environments - Strong programming skills in Python for production-grade software - Practical experience with AI/ML frameworks and model lifecycle (training, evaluation, optimization) - Experience with RESTful APIs, AI model serving, and microservices-based backends - Cloud-native deployment of AI solutions (AWS/Azure/GCP) **Strengths:** - Operations and systems thinking, turning messy processes into measurable workflows - Strong business–technical translation and stakeholder communication - Relevant supply chain, procurement, and inventory management domain experience **Missing Required:** 2+ years of hands-on experience developing and deploying AI-driven applications, Strong Python programming experience with production-grade, maintainable code, Practical experience with AI/ML frameworks, Solid understanding of AI/ML algorithms, model training, evaluation, and optimization, Experience with RESTful APIs and microservices-based architectures, Experience with AI model serving in production environments

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-5-mini] Strong match: recent end-to-end systems architecture, automation, and self-taught AI infrastructure (LLM clusters, trading systems) align well with a Junior AI Engineer role requiring Python/LLM interest and API/backend experience. Lacks explicit, named experience with LangChain/LangGraph and Vercel AI/front-end SDKs, but those are inferable from demonstrated projects and rapid prototyping ability. **Strengths:** - Recent, production-facing end-to-end systems architecture and automation - Demonstrated rapid prototyping and self-taught AI infrastructure (LLM clusters, scoring engines) - Strong business-technical communication and stakeholder alignment