[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] O candidato possui experiência robusta em automação, análise de dados, gestão de operações e domínio avançado de planilhas e relatórios, superando amplamente as exigências técnicas da vaga. Embora não haja menção explícita a experiência direta com atendimento ao cliente ou rotinas administrativas simples, a senioridade e a capacidade de aprender rapidamente compensam essas lacunas. O perfil é altamente qualificado para as demandas técnicas e pode facilmente se adaptar às rotinas administrativas. **✅ Strengths:** - Automação de processos - Gestão de dados e relatórios - Capacidade de adaptação e aprendizagem rápida

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong expertise in AI, automation, Python, infrastructure, and end-to-end systems design, with hands-on experience in LLMs, prompt engineering, and CI/CD. However, there are notable gaps in Java/Kotlin (Spring Boot), microservices with those stacks, and messaging/event-driven architectures (RabbitMQ/Kafka). The candidate's fast learning and proven ability to build complex systems make them a strong fit for GenAI and agentic solution roles, but backend stack differences and lack of direct messaging experience are moderate blockers. **⚠️ Critical Gaps:** - Java/Kotlin with Spring Boot for backend/microservices - Messaging/event-driven systems (RabbitMQ, Kafka, EventHub) **✅ Strengths:** - Python and automation for AI/agentic systems - Hands-on LLM and GenAI experimentation - Infrastructure and CI/CD pipeline experience **❌ Missing Required:** Java/Kotlin proficiency, Spring Boot experience, Hands-on with messaging/event-driven architectures

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong Python, automation, and AI infrastructure skills, with hands-on experience self-hosting LLMs and a clear ability to learn and implement new technologies. However, there are notable gaps in direct experience with prompt engineering techniques, RAG systems, vector databases, chatbot platforms, and specific ML libraries (Hugging Face, LangChain, Transformers). The candidate's fast-learner profile and systems architecture background make them a strong technical fit, but the lack of explicit NLP/ML production experience and missing hands-on with required tools prevents a perfect match. **⚠️ Critical Gaps:** - No direct experience with chatbot platforms (Dialogflow or similar) - No explicit hands-on with RAG systems or vector databases **✅ Strengths:** - Python and automation expertise - AI infrastructure and self-hosted LLMs - Systems architecture and integration **❌ Missing Required:** Prompt engineering techniques, RAG system implementation, Vector database usage, Chatbot development with Dialogflow, ML library experience (Hugging Face, LangChain, Transformers), MLOps practices

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong infrastructure, automation, and cloud skills, with direct experience in Python, Terraform, Docker, and AWS basics. However, there are notable gaps in hands-on experience with Kubernetes, Apache Airflow, and advanced AWS services, as well as missing exposure to specific data engineering tools (Spark, Flink, Datadog). The candidate's fast-learning profile and proven ability to build complex systems are strong positives, but the lack of direct experience with several core DevOps/data tools prevents a higher match. **⚠️ Critical Gaps:** - Kubernetes - Apache Airflow **✅ Strengths:** - Terraform and infrastructure automation - Python scripting and automation - System architecture and end-to-end delivery **❌ Missing Required:** Kubernetes, Apache Airflow

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] The candidate matches all core requirements: advanced Excel (inferred from ERP/data analytics roles), fluent English, and a strong background in finance, supply chain, and project operations. The only minor gap is the lack of explicit experience with compliance tools or direct project code management, but the candidate's history of building automated systems and handling financial/operational flows suggests fast adaptability. No critical domain gaps; candidate is a strong fit for the role's technical and operational demands. **✅ Strengths:** - Advanced data/ERP analytics - Financial and operational process expertise - Automation and system integration

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The job description does not specify any strictly required hard skills, focusing instead on company culture, diversity, and global project delivery. The candidate demonstrates strong technical and systems architecture skills, but without a clear technical requirement from the job, there is a domain mismatch. The lack of project management, construction, or infrastructure consulting experience is a critical gap for Turner & Townsend's typical roles. **⚠️ Critical Gaps:** - Construction/Infrastructure Consulting - Project Management in Built Environment **✅ Strengths:** - Systems Architecture - Automation Expertise - Supply Chain Analytics **❌ Missing Required:** Project Management, Construction Consulting

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] O candidato demonstra sólida experiência em liderança de projetos, integração de sistemas, automação, e domínio de inglês, além de forte capacidade analítica e visão estratégica. Faltam menções explícitas a SAP, Salesforce, BI (Power BI/SAP Analytics Cloud), automação de marketing, gestão orçamentária detalhada, e certificações PMP/Scrum Master, mas há evidências de rápida aprendizagem e adaptação a ambientes complexos. As competências de liderança, comunicação e integração de negócios com TI estão bem representadas. **⚠️ Critical Gaps:** - SAP - Salesforce - Power BI/SAP Analytics Cloud **✅ Strengths:** - Liderança técnica e estratégica - Experiência em automação e integração de sistemas - Capacidade analítica e visão de negócios **❌ Missing Required:** Vivência direta com SAP, Vivência direta com Salesforce, Experiência comprovada em BI (Power BI/SAP Analytics Cloud), Certificações PMP/CAPM/Scrum Master/ITIL/SAP Activate

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong experience in software architecture, automation, and technical leadership, with deep expertise in Python, infrastructure, and system integration. However, there are notable gaps in direct experience with Java/Kotlin, modern frontend frameworks (JavaScript/TypeScript), and some enterprise documentation/modeling tools. The candidate's fast learning ability and broad technical foundation make them a good match, but the lack of hands-on with key stack elements and some enterprise practices are limiting. **⚠️ Critical Gaps:** - No direct experience with Java/Kotlin or modern frontend frameworks **✅ Strengths:** - Python automation and backend - System architecture and integration - Leadership in technical strategy **❌ Missing Required:** Java, Kotlin, JavaScript/TypeScript frontend frameworks

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] O candidato possui sólida experiência em gestão de projetos complexos, automação, análise de dados e integração de sistemas, além de habilidades organizacionais e comunicação fluente. Domina ferramentas de automação e análise (Python, Excel, ERP), mas não cita diretamente Smartsheet, Miro, PPT ou experiência em agência/marketing, embora seja um 'fast learner' com histórico de adaptação rápida. Não há bloqueios críticos, apenas lacunas menores em ferramentas específicas e contexto de mídia. **✅ Strengths:** - Gestão de projetos complexos - Automação e análise de dados - Comunicação e organização **❌ Missing Required:** Smartsheet, Miro, PowerPoint

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate is a strong match for most core requirements: extensive automation, Python scripting, API integration, LLM deployment, and supply chain experience. The main gaps are lack of explicit JavaScript and low-code/no-code platform experience, and no direct mention of vector databases, LangChain, or workflow orchestration tools. Fast learning ability and broad systems expertise offset minor stack differences, but hands-on JavaScript and platform-specific skills are missing. **⚠️ Critical Gaps:** - No hands-on JavaScript experience - No direct experience with low-code/no-code automation platforms **✅ Strengths:** - Python automation and scripting - LLM deployment and prompt engineering - Supply chain and logistics systems expertise **❌ Missing Required:** JavaScript for automation logic, Low-code/no-code platform experience

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong experience in cloud infrastructure, automation, Python, and Linux, with direct AWS exposure and a proven ability to architect and operate complex systems. Most required hard skills are present, with minor gaps in specific AWS depth (certification, multi-year enterprise AWS ops), web accelerators/CDN, and explicit Windows admin experience. The candidate's fast learning and systems integration background suggest high adaptability for any missing areas. **✅ Strengths:** - Cloud Infrastructure Design - Python Automation - Linux Administration **❌ Missing Required:** Web Accelerators, Load Balancers, Reverse Proxies, CDN, Windows Systems Administration (explicit), TCP/IP Networking (explicit), HTTP Protocols (explicit)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] O candidato possui sólida experiência em arquitetura de sistemas, automação, análise de dados e integração de operações, alinhando-se fortemente com os requisitos do Mercado Envios. Domina Python, automação, análise de dados e tem experiência comprovada em Supply Chain, além de formação em Engenharia e especialização em Analytics. A principal lacuna é o domínio explícito de SQL e ferramentas de dashboards, mas a capacidade de aprender rapidamente e experiência com dados compensam bastante. **✅ Strengths:** - Automação e integração de operações - Análise de Supply Chain e dados - Experiência em projetos de ponta a ponta **❌ Missing Required:** SQL, Dashboards, Excel

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] O candidato possui sólida experiência em arquitetura de sistemas, automação, Python, infraestrutura, DevOps básico e integração de APIs, além de formação superior relevante e inglês fluente. No entanto, faltam certificações obrigatórias, experiência explícita com frameworks populares (Django, Spring, .NET, Angular/React), domínio avançado de Microsoft Office, e menção direta a bancos de dados específicos e Windows Server. O perfil demonstra forte capacidade de aprendizado e adaptação, mas há lacunas técnicas e de certificação que impedem um match pleno. **⚠️ Critical Gaps:** - Certificações obrigatórias não apresentadas **✅ Strengths:** - Arquitetura de sistemas e automação - Experiência comprovada em Python e integração de APIs - Inglês fluente e capacidade de aprendizado rápido **❌ Missing Required:** Certificação profissional obrigatória

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong experience in data engineering, automation, and system integration, with advanced Python, ETL, and database skills. However, there are notable gaps in Cognite Data Fusion (CDF), data warehousing, and advanced Spanish proficiency. The candidate's fast learning ability and broad technical foundation make them a good match, but some required skills are missing. **⚠️ Critical Gaps:** - Cognite Data Fusion (CDF) - Spanish (Advanced) **✅ Strengths:** - Python automation and ETL - Database and API integration - Advanced English proficiency **❌ Missing Required:** Cognite Data Fusion (CDF), Spanish (Advanced), Explicit Data Warehousing Experience, Explicit Data Modeling Techniques

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] O candidato possui sólida experiência em infraestrutura, automação, suporte técnico e compras, além de formação superior completa. Faltam menções explícitas a administração de AD/Workspace Google e experiência direta com PFsense, Unifi, Ruckus e Hillstone, mas demonstra forte capacidade de aprendizado e integração de sistemas complexos. A experiência em compras, suporte, automação e redes é altamente relevante, tornando-o um bom match com pequenas lacunas técnicas específicas. **⚠️ Critical Gaps:** - PFsense - Unifi - Ruckus - Hillstone **✅ Strengths:** - Automação de infraestrutura - Gestão de compras e serviços - Suporte técnico e integração de sistemas **❌ Missing Required:** Active Directory, Workspace Google

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong systems architecture, automation, and leadership experience, with deep expertise in Python, cloud infrastructure, and security. However, there is no evidence of hands-on React Native/mobile development, TypeScript, or direct blockchain/Web3 implementation, which are strictly required for this role. Fast learning and technical breadth are clear strengths, but critical gaps in mobile and Web3 stack block a strong match. **⚠️ Critical Gaps:** - React Native/mobile app development - TypeScript expertise - Blockchain/Web3 implementation in mobile context **✅ Strengths:** - Systems architecture and automation - Technical leadership and mentoring - Security and privacy-first mindset **❌ Missing Required:** React Native experience, TypeScript experience, Mobile app publishing, Web3/crypto wallet development

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong expertise in Python, SQL, automation, and supply chain analytics, directly matching the core requirements for data engineering and analytics in the job description. Experience with cloud basics, CI/CD, and systems architecture shows fast learning and adaptability, though there are minor gaps in big data warehouse technologies (e.g., Hadoop/BigQuery), NoSQL, and explicit data mesh/data governance experience. The candidate's background in building complex, automated systems and self-hosted AI clusters infers high potential for rapid upskilling in missing areas. **✅ Strengths:** - Python & SQL expertise - Supply Chain Analytics - Systems Architecture & Automation **❌ Missing Required:** Hadoop, BigQuery, NoSQL databases, Dimensional Modeling

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate is a strong systems architect and integrator with deep experience in distributed systems, cloud, automation, and team leadership. However, the role strictly requires advanced Java/Springboot development (7+ years), Kafka/MQ, and Spanish fluency, which are not present in the resume. The candidate's Python, cloud, security, and integration skills are highly relevant, and their fast-learner profile suggests quick adaptation, but the lack of Java/Springboot and Spanish are critical gaps. **⚠️ Critical Gaps:** - Java with Springboot (7+ years, core requirement) - Spanish language (role requires fluency) - Kafka/MQ (explicitly required for integration) **✅ Strengths:** - Cloud & Infrastructure expertise - Python and automation - Systems integration and architecture **❌ Missing Required:** Java, Springboot, Kafka, MQ, Spanish language

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate is a highly experienced systems architect and backend developer with strong Python, automation, and infrastructure skills. However, the job strictly requires deep expertise in React (front-end) and Microsoft/Azure environments, which are not demonstrated in the resume. The candidate shows fast learning potential and strong self-management, but lacks direct experience with the core front-end stack and cloud platform required. **⚠️ Critical Gaps:** - React (core front-end skill) - Microsoft/Azure (core platform requirement) **✅ Strengths:** - Python automation - System architecture - Self-management/proactivity **❌ Missing Required:** React, Microsoft/Azure

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate is a highly experienced Python developer with a strong background in automation, data pipelines, and SQL. They have proven startup/small company experience, excellent English, and a track record of independent, end-to-end system delivery. The only notable gaps are direct experience with Apache Airflow and Snowflake, but their fast-learning profile and infrastructure skills suggest a high likelihood of quick upskilling. **✅ Strengths:** - Python development - SQL and automation - Startup/small company experience **❌ Missing Required:** Apache Airflow, Snowflake

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] O candidato possui forte experiência em arquitetura de sistemas, automação, análise de negócios e entrega de soluções complexas, além de habilidades de liderança e visão estratégica. No entanto, faltam menções explícitas a práticas de Scrum, Product Ownership, gerenciamento de backlog e facilitação de eventos ágeis, que são centrais para a vaga. A experiência técnica e de integração com stakeholders é um diferencial, mas a ausência de experiência formal em frameworks ágeis é um gap relevante. **⚠️ Critical Gaps:** - Experiência formal como Product Owner - Certificação ou prática comprovada em Scrum **✅ Strengths:** - Visão estratégica e sistêmica - Experiência em integração de sistemas e automação - Gestão de stakeholders e entrega orientada a resultados **❌ Missing Required:** Facilitação de eventos do Scrum, Gestão formal de backlog de produto

[ANALYSIS_REPORT] **STRONG_MATCH** [Copilot: gpt-4.1] O candidato possui formação superior em Engenharia, experiência sólida em desenvolvimento de sistemas, automação, análise financeira e integração de dados, além de domínio em Python e conhecimento básico de infraestrutura em nuvem. Demonstra perfil autônomo, proativo e comunicativo, com experiência relevante em projetos de gestão e finanças. As únicas lacunas são o uso explícito de bancos de dados SQL e Excel, mas a capacidade de aprender rapidamente e o histórico de integração de sistemas compensam essas diferenças. **✅ Strengths:** - Python e automação - Experiência em sistemas de gestão e finanças - Capacidade de integração e arquitetura de sistemas complexos **❌ Missing Required:** Conhecimento prático em banco de dados relacional (SQL Server, Oracle, MySQL)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] O candidato demonstra forte experiência em automação, Python, integração de sistemas, infraestrutura e pipelines, além de conhecimento básico em AWS e CI/CD. No entanto, faltam menções explícitas a componentes Azure (DataFactory, Databricks, Azure SQL, Azure Storage), Spark, e experiência direta com ETL em ambientes de dados corporativos. As lacunas são técnicas, mas a senioridade, adaptabilidade e domínio de Python e automação indicam alto potencial de aprendizado rápido. **⚠️ Critical Gaps:** - Experiência prática com componentes Azure (DataFactory, Databricks, Storage, SQL Server) - Arquitetura Spark **✅ Strengths:** - Python e automação de processos - Experiência em arquitetura de sistemas complexos - Rápida aprendizagem e adaptação a novas tecnologias **❌ Missing Required:** Azure DataFactory, Azure Databricks, Spark

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong backend, automation, and infrastructure skills, with deep experience in Python, Docker, and cloud basics, as well as a proven ability to build complex, production-grade systems. However, there are notable gaps in direct experience with Node.js, Nest.js, TypeScript, and specific web frameworks (Next.js, React Native), as well as explicit TDD/BDD practice and some modern DevOps/monitoring tools. The candidate's fast learning ability and system architecture background suggest a high potential to bridge these gaps quickly, making them a strong junior candidate with some upskilling required. **⚠️ Critical Gaps:** - Node.js - Nest.js - TypeScript **✅ Strengths:** - Complex system architecture - Automation and backend development (Python) - Cloud and infrastructure fundamentals (Docker, AWS basics) **❌ Missing Required:** Node.js, Nest.js, TypeScript

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong alignment with the required skills: infrastructure management, cloud (Terraform, AWS basics), containerization (Docker), SQL, scripting (Python, Shell), and documentation. There is no direct experience with Java/JBoss or PowerShell, and no explicit mention of transaction processing or load balancer networking, but the candidate's background in building and maintaining complex, high-availability systems and fast learning curve suggest high adaptability. The only critical gap is Java/JBoss, which is a specific stack requirement for some environments. **⚠️ Critical Gaps:** - Java - JBoss **✅ Strengths:** - Cloud Infrastructure (Terraform, AWS) - Containerization (Docker) - Automation/Scripting (Python, Shell) **❌ Missing Required:** Java, JBoss

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong experience in planning, supply chain, and project execution, with a proven track record in logistics, automation, and reporting. However, there is no explicit experience with MS Project or direct exposure to industrial project standards and construction norms, which are strictly required. The candidate's fast learning ability and technical breadth suggest a quick ramp-up, but the lack of these specific hard skills is a notable gap. **⚠️ Critical Gaps:** - MS Project - Normas de projetos industriais - Procedimentos de construção industrial **✅ Strengths:** - Gestão de Supply Chain - Automação e otimização de processos - Análise e controle de produção **❌ Missing Required:** MS Project, Normas de projetos industriais, Procedimentos de construção industrial

[ANALYSIS_REPORT] **WEAK_MATCH** [Copilot: gpt-4.1] The candidate is a highly experienced systems architect and Python developer with strong infrastructure, automation, and cloud skills, as well as advanced English proficiency. However, the role strictly requires 3+ years of Kotlin development, deep JVM/Android stack expertise, and specific Android/Jetpack/DI skills, none of which are present or inferable from the resume. The candidate's strengths in automation, cloud, and AI infrastructure are valuable, but the lack of JVM/Kotlin/Android experience is a critical gap for this coding tutor position. **⚠️ Critical Gaps:** - Kotlin development experience - Android/Jetpack/DI frameworks - JVM/Java stack expertise **✅ Strengths:** - Cloud infrastructure and automation - CI/CD and DevOps practices - AI/ML systems and prompt engineering **❌ Missing Required:** 3+ years of Kotlin development, Strong knowledge of JVM ecosystem, Android SDK experience, Jetpack Compose, MVVM/Clean Architecture, DI frameworks (Dagger/Hilt/Koin)

[ANALYSIS_REPORT] **GOOD_MATCH** [Copilot: gpt-4.1] The candidate demonstrates strong technical, leadership, and process optimization skills, with proven experience in systems integration, automation, and team/project management. However, there is no direct evidence of hands-on experience with customer support platforms (e.g., Zendesk, Intercom), nor explicit prior account management or client-facing roles in a SaaS/support context. The candidate's fast learning ability and broad technical background suggest high adaptability, but the lack of direct customer support tool experience and formal account management is a notable gap. **⚠️ Critical Gaps:** - Hands-on experience with customer support platforms - Direct account management/client-facing support role **✅ Strengths:** - Technical systems architecture and automation - Strategic and process-oriented thinking - Fluent English and strong communication **❌ Missing Required:** Familiarity with Intercom, Zendesk, Freshdesk, Hubspot, Aircall, or any customer support platform, 1+ years in a similar (account management/support) role

[ANALYSIS_REPORT] [G2.5 Flash] The candidate presents a strong background in system architecture, automation, and ensuring operational resilience, demonstrated through building self-sustaining e-commerce and AI infrastructure. His analytical skills are well-matched for interpreting monitoring data. The primary gaps are explicit experience with specific monitoring tools (Zabbix, Grafana, Dynatrace) and formal incident management (ITSM) tools. However, his proven track record as a fast learner, having successfully implemented complex self-taught systems (e.g., self-hosted LLMs, algorithmic trading), indicates a high capacity to quickly acquire proficiency in these specific technologies and adapt to the required toolset.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate demonstrates strong foundational skills in system architecture, Python development, automation, and problem-solving, coupled with a proven track record as a 'fast learner' in complex, self-hosted environments. This aligns well with the general engineering aptitude and entrepreneurial spirit desired. Expertise in the financial market further strengthens the profile. However, there are specific gaps in modern data engineering frameworks and tools such as Apache Spark/Pyspark, Kafka for streaming data ingestion, and explicit knowledge of Data Lake/Lakehouse architectural layers. While the candidate's learning agility suggests potential to acquire these, direct experience is currently missing.

[ANALYSIS_REPORT] [G3 Flash] The candidate has a highly relevant educational background in Mechatronics and Automation Engineering, which provides a strong theoretical foundation for the role. They also receive a boost for their 'Fast Learner' profile and demonstrated ability to build complex systems (LLMs, JIT engines). However, their professional history over the last 10 years has shifted significantly toward software, finance, and supply chain, leaving a gap in recent, demonstrated field experience with PLCs, industrial communication protocols, and industrial sensor hardware as requested by the job description.

[ANALYSIS_REPORT] [G3 Flash] While the candidate has impressive 'Builder' potential and strong logistical experience (Procurement/Supply Chain), there is a significant domain mismatch. The candidate lacks the required corporate event production experience and does not list the mandatory advanced Spanish skills needed for international presentations. His engineering and AI background are overkill for this role, while his lack of specific event-planning tools (Airtable/Planner) and industry experience are major gaps.

[ANALYSIS_REPORT] [G3 Flash] The candidate is a highly technical Systems Architect/Engineer, whereas the role is a non-technical Event Project Manager specializing in Signage and Branding. While the candidate's background in Procurement and JIT systems demonstrates strong vendor management and operational logistics capabilities, there is a total mismatch in the core domain (Events vs. IT/Infrastructure). Furthermore, the candidate lacks the mandatory Spanish language requirement and specific industry tools like Airtable and Microsoft Planner.

[ANALYSIS_REPORT] [G3 Pro] Major role and domain mismatch. The candidate is a Technical Architect/Engineer, while the role is a non-technical Project Manager specifically requiring 3+ years of experience in an 'advertising or marketing agency'. The candidate lacks the mandatory agency background and focuses on backend infrastructure/supply chain rather than creative/digital agency project delivery.

[ANALYSIS_REPORT] [G3 Pro] Strong candidate due to 'Builder' profile, relevant Finance/Crypto background, and rare 'metal-up' AI infrastructure experience (running local LLMs/GPU clusters), which is highly valuable for an AI Platform team. Significant boost applied for proven self-teaching and domain fit. However, the resume leans heavily towards standalone automation, scripting, and infrastructure rather than the distributed enterprise application development (Microservices, Messaging, NoSQL) explicitly required for a 'Specialist' role at a major bank.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate presents a strong foundational skillset in Linux environments, SQL databases, and scripting (Python, Shell), complemented by experience with cloud infrastructure concepts like Docker, Terraform, and AWS basics. Their background as a systems architect and founder, with a proven track record of self-teaching and building complex, self-hosted systems (e.g., LLMs, automated e-commerce), directly aligns with the job's emphasis on a 'fast learner' and a 'generalist' with 'exceptional diagnostic and problem-solving skills'. While specific gaps exist in direct experience with JBoss, Tomcat, Apache HTTP Server, OpenAM, LDAP, Windows administration, and ITIL/ServiceNow, these are largely learnable technologies and standards for an individual demonstrating such high aptitude for rapid skill acquisition and system integration.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate's profile as a 'Technical Bridge' and 'Systems Architect' with a decade of experience, particularly in finance, e-commerce, and supply chain, aligns exceptionally well with the Project Manager Analyst role. Their proven ability to translate business goals into technical solutions and deliver complex automated systems demonstrates strong business acumen, analytical skills, and practical project execution. While formal project management methodologies, explicit requirements documentation standards, and specific enterprise financial transformation system experience are not explicitly detailed, the candidate's 'fast learner' trait and extensive practical experience in similar functions significantly mitigate these gaps, indicating a high potential for rapid assimilation of any missing formal knowledge.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate demonstrates exceptional alignment with the core responsibilities of project management, R&D, product engineering, and process engineering, backed by over a decade of experience as a solutions architect and systems integrator. Their Mechatronics Engineering background is highly relevant for a robotics company, enabling cross-functional coordination. While specific project management tools (Jira, MS Project, Monday) and advanced Excel proficiency are not explicitly listed, the candidate's proven track record as a 'Fast Learner' (e.g., self-hosting LLMs, algorithmic trading) suggests a strong capacity to quickly acquire these skills.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate demonstrates strong experience in leading engineering initiatives, architecting complex systems, and managing project-like efforts (JIT inventory, LLM hosting, supply chain optimization). Fluent English is confirmed. While 'Basic AWS' is listed, the candidate's 'Fast Learner' profile and experience with self-hosted AI clusters suggest a strong ability to quickly acquire deeper AWS project implementation skills. The primary gaps are the lack of explicit mention of Agile/Waterfall methodologies and PMP certification (which is desired, not strictly required). Financial acumen is strong, though not explicitly tied to project-specific profitability tracking.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate brings strong technical leadership, a proven track record of building complex systems, and a founder's mindset demonstrating significant ownership and business acumen. He is fluent in English, a mandatory requirement, and possesses excellent problem-solving and rapid learning capabilities. However, his resume lacks explicit experience in formal people management within technology teams for client service delivery and direct exposure to outsourcing or professional allocation business models. While his leadership skills are evident, the specific context of managing allocated professionals for external clients is a gap.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate demonstrates extensive experience (over 10 years) in architecting, deploying, and managing complex technical systems, aligning closely with the 'end-to-end execution of complex, cross-functional technical projects' requirement. Their background includes direct FinTech and crypto experience (algorithmic trading, financial analysis), strong technical acumen in infrastructure and development (Docker, Python, CI/CD), and proven scripting abilities. The primary gap is the explicit mention of specific Atlassian Suite products (Jira, Confluence, Jira Product Discovery). However, given the candidate's 'fast learner' trait and experience in leading significant engineering and operational initiatives, the ability to quickly adapt to specific PM tools is highly probable, mitigating this as a major deficiency.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate demonstrates strong foundational and transferable skills for organizing, planning, and executing complex operations, as evidenced by their extensive experience in e-commerce automation, supply chain management, and system architecture. Their proven 'Fast Learner' ability is a significant asset, suggesting rapid adaptation to new tools and domain specifics, such as the 'skills' tool and the advertising agency environment. While they lack formal project management education/certification and direct experience specifically as a project assistant in an advertising context, their practical experience in managing projects from concept to execution with high efficiency significantly mitigates these gaps. The role is for an 'Assistant,' implying a learning curve, which aligns well with the candidate's profile.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate presents a robust profile as a Solution Architect and Systems Integrator, with extensive experience in building and optimizing complex systems across e-commerce, supply chain, and AI infrastructure. His strong technical background (Python, Docker, Terraform, CI/CD, AWS basics) and business acumen align well with the need for technology knowledge compatible with architectural demands and understanding diverse business domains. Furthermore, his proven track record as a founder and consultant highlights strong leadership, problem-solving, decision-making, communication, and self-management skills. He also meets the educational and language requirements. However, the job description places a heavy emphasis on formal requirements engineering methodologies, certifications, and specific diagramming notations that are not explicitly demonstrated in the resume. Key gaps include mandatory certifications (IREB CPRE-FL, CSPO, or PSPO I), formal knowledge of requirements elicitation techniques, BPMN, UML diagrams, formal understanding of software development life cycles (Waterfall, Iterative/Incremental, Agile), and formal test analysis. While the candidate's 'fast learner' trait and 'figure it out' ability suggest a strong capacity to acquire these skills, they represent immediate hard skill gaps for a role so heavily focused on these specific, formal practices.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate presents a strong background in system architecture, automation, project leadership, and analytical skills, which are highly transferable to managing projects within a corporate environment. His engineering degree and experience in building complex systems (e.g., JIT inventory, self-hosted AI clusters, algorithmic trading bots) demonstrate a robust 'figure it out' ability and a track record of successful project execution. He also has relevant experience in financial analysis and risk management in a trading context, and indicator analysis. The primary gaps lie in explicit knowledge and experience in institutional Compliance, Anti-Money Laundering (AML), Prevenção à Lavagem de Dinheiro (PLD), and Fraud Prevention methodologies within a large financial organization like Bradesco. While he has project management experience, specific certifications (PMP/PMI) and explicit mention of Agile/Traditional methodologies (Scrum, Kanban, PMBOK) were not present on the resume, though his practical experience likely covers many principles.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate demonstrates strong general project management, systems architecture, and leadership skills, with a proven ability to rapidly learn and implement complex systems. Their engineering background and advanced English meet key requirements. However, the job specifically requires a minimum of 3 years of experience in project management within 'Clinical Research', which is a significant and explicit gap. While the candidate's 'Fast Learner' ability suggests potential for domain adaptation, the absence of direct experience with Good Clinical Practice (GCP) guidelines, clinical regulatory submissions, KOL engagement in a clinical context, and clinical trial specific processes represents a substantial challenge for a lead role.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate demonstrates strong experience in system architecture, automation, supply chain, and strategic operational improvements, aligning well with the core mission of the Bradesco Compras team. Key strengths include structuring business plans, metricating KPIs, and a proven ability to self-teach complex technologies and manage end-to-end projects. Gaps are primarily in the explicit mention of formal project management methodologies (PMBOK, Scrum, Kanban), innovation frameworks (Design Thinking, Lean Startup), and specific data/presentation tools (Power BI, advanced Excel, PowerPoint, Canva). However, given the candidate's 'Fast Learner' context and extensive project delivery experience, these are considered learnable skills, making the overall match strong for a Senior Project Analyst role focused on strategy and transformation.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate demonstrates strong alignment with experience in the financial sector, ERP systems, digital product management (through their founder role), data manipulation, and API knowledge. Their proven ability as a 'fast learner' and a builder of complex systems mitigates the lack of specific tool knowledge. The main gaps are explicit familiarity with project management tools like JIRA/Confluence and, more significantly, specific financial industry regulations (PCI, LGPD, and Banco Central norms related to payment methods).

[ANALYSIS_REPORT] [G2.5 Flash] The candidate demonstrates exceptional skills in system architecture, automation, and complex infrastructure (Docker, Terraform, AI clusters, AWS basics), far exceeding the technical depth implied by many of the job's basic requirements. Their 'fast learner' ability, evidenced by self-hosted LLMs and algorithmic trading, suggests a strong capacity to quickly acquire new skills. However, the resume does not explicitly detail experience with specific, foundational IT support tasks such as diagnosing desktop/notebook/monitor hardware issues, installing/configuring Windows operating systems, or basic knowledge of the Microsoft Office suite. The process-oriented 'IMAC' (Installation, Movement, Addition, and Removal) experience, although related to logistics which the candidate has, is not explicitly stated in an IT context. Furthermore, the ITIL v4 Foundation certification, listed as a desirable qualification, is not present. The overall mismatch is more in the specific *domain* of direct end-user IT support rather than a general lack of technical aptitude, which the candidate possesses in abundance.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate presents a strong profile in automation, data analytics, Python, and system architecture, with relevant experience in self-hosted AI and building complex, automated systems. While lacking direct experience with specific Microsoft tools (PowerShell, Power BI, PowerApps, Flows) and explicit IT Asset Management platforms, his proven 'fast learner' ability and analogous supply chain/inventory management experience indicate a high potential to quickly adapt and fill these gaps. The core requirements for designing and implementing AI-driven automated solutions are well-matched.

[ANALYSIS_REPORT] [G2.5 Flash] The candidate presents a strong profile with extensive experience in project management, system integration, and logistics automation, highly relevant to Dematic's core business. Key strengths include architecting and deploying complex systems (JIT inventory, e-commerce automation), experience with ERP, supply chain analytics, and leading engineering operations. Fluent in English and holds an engineering degree. The primary skill gaps are specific software tools (MS Project, Outlook, Excel, Word, PowerPoint, Jira, Power BI), PMP certification, and basic Spanish. However, considering the candidate's proven 'fast learner' trait and experience building self-hosted complex systems, these software-specific and certification gaps are deemed trainable rather than representing entirely missing domains.