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CV

My career path didn’t start in marketing—it started in ocean physics. My love for the ocean and understanding its patterns brought me close to science and programming. I got my hands on MATLAB back in 2005 while studying oceanography in Brazil, and that’s when I realized I was deeply motivated by data and analysis. After moving to Canada in 2009, I decided to pursue a different path, but that analytical foundation stayed with me. It’s what drew me to marketing, data analysis, and PPC advertising years later. And eventually, it led me to where I am now: building AI-powered automations that eliminate the manual work holding teams back.

Career Evolution Timeline #

🤖 Operations Automation Consultant 2023 → Present #

Freelance | Toronto & Remote

Current focus: Building AI-powered automations for small businesses and nonprofits that eliminate repetitive processes and free up teams to focus on what matters.

  • Built grant management workflow for nonprofit that reduced review time from 3 days to same-day turnaround
  • Created AI-powered tax receipt processing system for financial services company that eliminated manual data entry errors and freed up 10+ hours per week
  • Developed Power BI dashboards consolidating disparate data sources for multiple nonprofit clients, enabling data-driven decision making
  • Automated operational workflows using n8n that cut manual processes by 60% across client organizations

Key learning: The best automation isn’t the most sophisticated—it’s the one that actually gets used and solves a real problem.


🎨 Operations Manager 2023 → 2025 #

Qrious Eye Studio | Remote

The Startup Operations Foundation

  • Built operational infrastructure from scratch for design studio serving home textiles industry
  • Created B2B lead generation process targeting textile manufacturers that produced consistent pipeline of qualified prospects
  • Developed SOPs and internal workflows that brought structure to previously ad-hoc operations
  • Established marketing strategy that increased brand visibility in competitive market

Critical transition: Moving from managing existing systems to building operational foundations from zero—learning what actually needs to be documented versus what just needs to work.


📊 Paid Ads Manager 2022 → 2023 #

Seller Interactive | Remote

The Scale Operations Challenge

  • Led operations for 35-person team managing Amazon PPC campaigns across 400+ client accounts
  • Created standardized workflows and SOPs that brought consistency to chaotic operations and made team performance trackable
  • Built dashboards to monitor team KPIs and account performance, providing visibility into what actually mattered
  • Reduced client escalations by streamlining communication and addressing operational issues before they became fires

Foundation building: Learned that at scale, clarity beats cleverness. The best process is the one everyone can follow consistently.


🔍 Data Strategist 2021 → 2022 #

AsteroidX | Toronto

The Data-Driven Operations Period

  • Developed data-driven strategies to optimize PPC campaigns and operational workflows for Amazon brands
  • Worked cross-functionally to align processes with business goals and identify efficiency improvements
  • Analyzed campaign performance and provided recommendations that stakeholders actually implemented

Core skills development: Learning to translate data into action—not just identifying problems but designing solutions people would actually use.


💰 PPC Amazon Advertising Manager 2020 → 2021 #

Buy Box Experts | Remote

The Client Portfolio Management Phase

  • Managed advertising strategy and budget allocation for portfolio of Amazon brand clients
  • Optimized campaigns based on performance data and communicated results to clients regularly

Key learning: Every client’s business is different—cookie-cutter approaches fail. Understanding the actual business problem is more important than knowing the platform.


🎯 SEO Campaign Manager 2017 → 2020 #

Yellow Pages Group | Toronto

The Digital Marketing Foundation

  • Built digital marketing strategies for SMBs focused on generating qualified traffic and leads
  • Analyzed website performance using Google Analytics and SEMrush to identify optimization opportunities
  • Learned how small businesses actually operate and where they struggle with operations

Academic grounding: First exposure to the operational chaos of small businesses—watching talented owners drowning in admin work planted the seed for everything that came after.


🎓 Education & Continuous Learning #

Data Science Program • Brainstation February 2019 → May 2019

Learned Python, SQL, data visualization, and statistical analysis

BSc Oceanography • Centro Universitário Monte Serrat, Santos, Brazil January 2004 → December 2008

Foundation in scientific methodology and systematic thinking

Intern • LADO (Ocean Dynamics Laboratory), University of São Paulo 2005

Early exposure to data analysis and programming (MATLAB)

Self-Taught: n8n automation, AI integration, workflow design, API development

Most of what I use daily, I learned by building real projects for real clients


🛠️ Technical Skills #

Automation & Integration n8n, Make.com, Zapier, API integrations, webhook configuration

Data & Analytics Power BI, Tableau, SQL, Python, Excel, Google Analytics

AI & Document Processing Claude API, LLM integration, document OCR, data extraction

Project & Workflow Tools Monday.com, Airtable, Notion, Jotform, Google Workspace

Languages English (Fluent), Portuguese (Native)