Leonardo Villas Boas
Coordenador de PE&G @ V4 Company
About
𝗠𝘆 𝗺𝗶𝘀𝘀𝗶𝗼𝗻 𝗶𝘀 𝘁𝗼 𝘁𝘂𝗿𝗻 𝗱𝗮𝘁𝗮 𝗶𝗻𝘁𝗼 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝗮𝗻𝗱 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗶𝗻𝘁𝗼 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲 𝗴𝗿𝗼𝘄𝘁𝗵. Currently, I serve as 𝗖𝗧𝗢 at a 𝗖𝗥𝗠 𝘀𝘁𝗮𝗿𝘁𝘂𝗽 in the real estate sector, leading projects that integrate 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲, 𝗣𝘆𝘁𝗵𝗼𝗻 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 (3 years of experience), and 𝗱𝗮𝘁𝗮 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀, with a strong focus on 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲. I develop 𝗱𝗮𝘁𝗮 𝗽𝗶𝗽𝗲𝗹𝗶𝗻𝗲𝘀, build 𝗱𝗮𝘁𝗮 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻 𝗮𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲𝘀, and create 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗹𝗲𝗮𝗱 𝗳𝗹𝗼𝘄𝘀 via WhatsApp and 𝗔𝗣𝗜 𝗶𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗶𝗼𝗻𝘀 with platforms like Meta and Google. My background is 𝗵𝘆𝗯𝗿𝗶𝗱: I began in 𝗛𝗥, where I applied 𝗔𝗜-𝗱𝗿𝗶𝘃𝗲𝗻 𝘁𝗼𝗼𝗹𝘀 for internal query resolution and 𝗽𝗿𝗼𝗰𝗲𝘀𝘀 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, improving user experience and response time for thousands of employees. Later, I transitioned into 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗮𝗻𝗰𝗲 𝗺𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴, managing over BRL 375k in paid traffic, optimizing 𝗹𝗮𝗻𝗱𝗶𝗻𝗴 𝗽𝗮𝗴𝗲𝘀, and building 𝗰𝗵𝗮𝘁𝗯𝗼𝘁𝘀 𝗮𝗻𝗱 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝗳𝘂𝗻𝗻𝗲𝗹𝘀. Today, I combine a 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻-𝗳𝗼𝗰𝘂𝘀𝗲𝗱 𝗺𝗶𝗻𝗱𝘀𝗲𝘁 with 𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱 𝗱𝗮𝘁𝗮 to build 𝘀𝗰𝗮𝗹𝗮𝗯𝗹𝗲, 𝗺𝗲𝗮𝘀𝘂𝗿𝗮𝗯𝗹𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 that drive impact. I am currently pursuing an 𝗠𝗕𝗔 𝗶𝗻 𝗗𝗮𝘁𝗮 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 and already hold certifications in 𝗨𝗫 𝗗𝗲𝘀𝗶𝗴𝗻, 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁, and a 𝗕𝗔 𝗶𝗻 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗥𝗲𝗹𝗮𝘁𝗶𝗼𝗻𝘀. I have 3 years of hands-on experience with Python, 2 years with SQL, and solid knowledge in 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗔𝗜 and 𝗖𝗹𝗼𝘂𝗱 𝗖𝗼𝗺𝗽𝘂𝘁𝗶𝗻𝗴 (𝗔𝗪𝗦 𝗮𝗻𝗱 𝗚𝗖𝗣). If you’re looking for someone who combines 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 𝗧𝗵𝗶𝗻𝗸𝗶𝗻𝗴 with 𝗧𝗲𝗰𝗵𝗻𝗶𝗰𝗮𝗹 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻 to solve real-world problems using 𝗱𝗮𝘁𝗮, 𝗔𝗜, 𝗮𝗻𝗱 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻, let’s connect.
Brazil
Campinas
Real Estate
Docker, Apache Airflow, Terraform, Grafana, PostgreSQL, Engenharia, JavaScript, Big data, Data warehouse, Banco de dados SQL, CSS, Marketing, PyTorch, API da OpenAI, Análise de dados nos negócios, Engenharia de dados, Apache Spark, Pandas (Software), Hadoop, Metodologias Agile
Experience

Gestor de Tráfego - Sênior
Campinas, São Paulo, Brasil
• Gestão de campanhas de mídia paga para clientes dos EUA (Google Ads, Meta, Yelp), com foco em escala, testes e otimização contínua orientada a dados. • Criação e manutenção de painéis em Power BI integrando dados de mídia paga, CRM e plataformas externas via APIs, aumentando visibilidade de resultados e assertividade de investimento. • Configuração de Google Analytics, Google Tag Manager e rastreamento de conversões, garantindo integridade dos dados para tomada de decisão. • Construção de relatórios executivos com foco em ROI, CPA e receita, traduzindo performance em insights acionáveis para stakeholders. • Estruturação de processos de coleta, tratamento e padronização de dados de campanhas, reduzindo esforço manual e erros operacionais. • Acompanhamento de processos da unidade e implementação de melhorias em gargalos entre Accounts, Designers e Gestores de Tráfego.

CTO
Campinas, São Paulo, Brasil
-Designed and maintained a scalable cloud infrastructure on AWS (EC2, S3, RDS, ELB) for a real estate CRM SaaS platform with 2,000+ active users, achieving 365+ days of continuous uptime by leveraging Redis for caching and RabbitMQ for messaging. - Developed an AI-driven system using Python and machine learning to automatically classify and score leads, implementing iterative model refinement (MLOps) based on target outcomes to continuously improve prediction accuracy and lead prioritization. - Built and maintained robust data pipelines using Python and integrated external APIs (WhatsApp, Facebook, Google Ads) to ensure seamless data flow between the CRM platform and marketing/communication channels. - Leveraged 3+ years of Python and 2+ years of SQL experience to build data-driven solutions, demonstrating proficiency in MySQL and Redis for high-performance data management. - Analyzed and optimized SQL query performance and data loading processes (MySQL with Redis caching), significantly improving system response times and scalability. - Collaborated with marketing teams to co-create SEO strategies and optimize landing pages, boosting lead conversion rates by 40%. - Implemented continuous integration and deployment (CI/CD) pipelines and proactive system monitoring, resulting in smoother releases and significantly fewer deployment failures while maintaining high service performance.
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