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in Brazil

I turn messy environmental, agricultural and geospatial data into decisions. Not just maps and shapefiles, the forecast, the dashboard and the answer your team can act on. I am a Data Scientist and Forest Engineer with 10+ years of experience. I currently lead the Data Intelligence area for the Planning Advisory Department at IDR-Paraná, where my pipelines support 399 municipalities and inform an agricultural and forestry sector worth billions. In practice that means I do four things most GIS freelancers do not do together: Geospatial data engineering. Production Python + PostGIS pipelines that pull multi-source data (satellite, census, trade, land prices, field data) into clean, reproducible datasets. Scheduled and tested with GitHub Actions, not one-off scripts. Machine learning on spatial data. scikit-learn and PyTorch models for time-series forecasting, clustering and segmentation, and collaborative filtering. The “what does this mean and what happens next” layer, not just the map. Decision dashboards. Interactive Plotly/Dash and Power BI dashboards that stakeholders actually use to decide. I built Datageo Paraná, a public platform with 10 interactive dashboards spanning 30+ years of data and 400+ products (VBP, census, ComexStat, employment, land prices, forestry prices). Domain depth. Forestry, agribusiness, sustainability and public-sector analytics. I have led FSC- and NR-31-compliant operations across multi-million-hectare projects, so I understand the data and the decisions behind it. What you get when you hire me: a clear scope up front, fast and direct communication, a documented methodology, original analysis (never recycled or plagiarized), and a full handoff of the maps, the validated pipeline and the code. You own everything at the end. Tools: Python, PostGIS / PostgreSQL, QGIS, scikit-learn, PyTorch, Plotly/Dash, Power BI, Supabase, GitHub Actions, GDAL/GeoPandas/Shapely/rasterio, SQL. Good fit if you need: satellite / remote-sensing analysis, geospatial web scraping and data acquisition, spatial data pipelines, forecasting or segmentation on geographic data, interactive geo dashboards, or forestry / agribusiness / environmental decision analytics. If you have geographic data and a decision to make, message me. I will tell you honestly whether I am the right fit and what the smallest useful first step looks like.

AI, Data Science, and Full-Stack Development Specialist | 4+ Years of Freelancing Experience I hold a Professional Certificate in Data Science from MIT and am recognized as a Microsoft Innovative Educator Expert (MIEE) with over 30 Microsoft certifications and badges. Over the last four years, I’ve been a dedicated freelancer, helping businesses leverage data-driven insights, machine learning, and robust software solutions to achieve sustainable growth. As the owner of a dev shop, SimpleDev, I lead a team of experts who specialize in crafting high-impact applications, AI-driven systems, and automation strategies. My focus is on delivering results that truly transform how companies operate—whether by building end-to-end platforms, integrating advanced analytics, or optimizing existing processes for efficiency and scalability. Key Services AI & Machine Learning Implementation Data Analytics & Visualization Custom Software Development Process Automation & Optimization Cloud Integration & Deployment If you’re looking to elevate your operations with AI, streamline workflows, or build a robust software solution, let’s connect. I’m here to help you navigate the path to digital transformation—on time, on budget, and with measurable impact.

Hi, I’m Marcus. A data professional specialized in building reliable analytics systems and decision-grade datasets. I help companies structure data foundations that actually support reporting, forecasting, and business decisions. My work focuses on data modeling, SQL logic, metric definitions, and transformation layers; the part of BI that makes dashboards correct, not just visual. I work across: SQL & Data Modeling: fact tables, dimensions, KPI logic, performance optimization Analytics Engineering: transforming raw data into clean business layers Business Intelligence: Power BI, Metabase, Apache Superset, Looker Studio Python: ETL, automation, data validation, pipeline scripting Data Quality & Governance: consistency checks, metric validation, reporting reliability I’ve worked with revenue analytics, pricing logic, operational reporting, growth metrics, and large production datasets; building analytics foundations that scale and stay accurate over time. If your problem isn’t “a chart” but structure, trust, or correctness of data, that’s where I add value. Let’s connect.

🏆 𝐓𝐨𝐩 𝐑𝐚𝐭𝐞𝐝 𝐏𝐥𝐮𝐬 ✅𝟏𝟎𝟎% 𝐉𝐨𝐛 𝐒𝐮𝐜𝐜𝐞𝐬𝐬 🎯+𝟓𝟎 𝐀𝐈 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬 𝐝𝐞𝐥𝐢𝐯𝐞𝐫𝐞𝐝 +5 years AI experience, specialized in 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 where AI answer, queries databases, manages CRM records, runs API calls, automates workflows end-to-end. 🚀 𝐖𝐡𝐚𝐭 𝐈 𝐁𝐮𝐢𝐥𝐝 🧠 AI SaaS MVPs — Production Next.js + Claude + Stripe apps shipped in 4 weeks 🤖 Multi-Agent Systems — LangGraph + Claude pipelines, $65K+ proven in production 🏢 Enterprise RAG — Context-aware engines across Notion, Slack, SQL & Drive (10K+ docs) 📞 AI Phone Agents — Retell + Vapi + ElevenLabs for sales, support, appointment booking 🔌 MCP Servers — Custom Anthropic-spec servers exposing your data to Claude Code, Cursor, Desktop ⚙️ n8n + Claude Workflows — End-to-end automations with CRM, email, voice, web scraping 🛒 Multi-Channel Ops — Telegram, Shopify + Square + Wholesale unified in Google Sheets / QuickBooks 🛠️ 𝐒𝐩𝐞𝐜𝐢𝐚𝐥𝐢𝐳𝐞𝐝 𝐈𝐧 ● Claude Ecosystem — Claude Code, Cowork, MCP, Skills, Plugins, Agent SDK, OpenClawn (self-hosted) ● Voice AI Agents — Retell, Vapi, Bland, Synthflow, ElevenLabs, Deepgram, Whisper ● AI Systems — RAG, GraphRAG, SQL Agents, Multi-Agent Systems, Computer Use, Browser Automation ● Frameworks — LangChain, LangGraph, CrewAI, Pydantic AI, OpenAI SDK, Claude Code, Deep Agents 💻 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐒𝐭𝐚𝐜𝐤 ● AI & LLMs — Anthropic Claude · OpenAI · Gemini · DeepSeek · Llama / Ollama (local) ● Orchestration — LangChain · LangGraph · CrewAI · Pydantic AI · MCP ● Vector & Data — Qdrant · Pinecone · ChromaDB · Supabase · PostgreSQL · pgvector ● Backend — Python · FastAPI · Node.js · TypeScript · Docker · PostgreSQL ● Frontend — Next.js 14 · React · Tailwind · Vercel AI SDK · shadcn/ui ● Automation — n8n · Claude Code · Webhooks · REST APIs · Openclaw 📈 𝐏𝐫𝐨𝐨𝐟 𝐨𝐟 𝐖𝐨𝐫𝐤 • PagBank (Brazil's largest fintech) — Voice + Chat Generative AI in production • ChatADV — AI for 100,000+ lawyers, thousands of documents • $65K+ SQL Agent platform — 2+ years in production, no data incidents • Langflow (acquired by Datastax & IBM): AI Engineer & Mentor • Multi-Channel CPG Ops (hot sauce brand) — Shopify + Square + Wholesale 𝐇𝐨𝐰 𝐈 𝐰𝐨𝐫𝐤 1. 30-min scoping call — I return an architecture sketch + ballpark within 24h 2. Prototype in days/weeks with weekly demos in a shared workroom 3. Production hardening — safety rails, observability, audit logging, documentation 4. Handoff or optional maintenance retainer ⚡ Shoot me a message and let's scope your AI project — first reply within 2h.

Data Scientist and Data Analytics Consultant with proven results in finance and retail. Specializing in machine learning, demand forecasting, and credit risk management to deliver measurable business impact.​ ✅ What I Can Do for You 🔹 Machine Learning Model Development (classification, regression, time series) 🔹 Retail Demand Forecasting and Inventory Analytics 🔹 End-to-End Data Pipeline Creation (Python, SQL, Airflow, Spark, Kubeflow) 🔹 BI Tool Integration (Metabase, Looker or Quicksight)

Data Science professional with hands-on experience using Python to analyze IT incidents, change management records, and IT service requests in a large-scale National IT Support Center. Focused on generating data-driven insights to optimize IT infrastructure utilization (IT as a Service) and improve support team allocation during peak workload and high-incident periods.