Hire the Best Numpy Freelancers
in Brazil

I'm 22 years old, in my 6th semester of Information Systems at PUCPR, and already delivering production automations for clients in New Zealand, the UK, and Brazil. I'm a Top Rated Freelancer on Upwork (top 10% globally) and I build real systems, not prototypes, with architecture designed for scale: queue mode, Redis, Docker, retries, and cost guardrails. 📊 Real results delivered At SociallyMe (UK), I built a B2B outreach pipeline that processes 100 leads in under 5 minutes and projects 2,500 to 3,000 emails/month with zero human intervention. At Home Carers (NZ), I automated the recruitment process by integrating 5 tools into a single pipeline, reducing manual work per application by 60 to 80% and cutting initial response time to applicants by 70 to 90%. At Alexandria (BR), I automated the collection of 1,700+ invoices in a few days, eliminating a manual process in the billing department. At FleetPay (BR), I reduced workflow delivery time from 3 to 5 hours down to 1 to 2 hours using an integrated Claude Code + MCP environment. A team of 8 AI agents saving 10 to 20 hours/month per person. About 12 minutes saved per document analyzed by an AI agent (Tintas Farben). 🛠 Stack Automation: n8n (queue mode), Docker, Redis, PostgreSQL, Hetzner VPS Dev: Python, Node.js, JavaScript, Django, Flask AI: Claude Code, MCP servers (Atlassian, Slack, n8n), LangChain, OpenAI Integrations: Evolution API (WhatsApp), Pipefy, Pipedrive, Google APIs ⸻ 💡 Differentiator I work with Claude Code + MCP servers integrated into VS Code to speed up workflow delivery while maintaining architectural quality: Spec Driven Development, retries, modularized workflows, avoiding monolith architecture, and enabling clean debugging and guardrails across all projects. 📩 Available for automation, AI agents, and production integration projects.

I worked as a Talent Sourcer for an American Health startup focused in AI technology where my main responsibility is to source and recruit IT Profiles with the following skills and roles: Backend Engineer: Python, Kubernetes, Microservices, AWS, Open API, and Flask. Frontend Engineer: React, Apollo, nodejs, and Open API. Kubernetes, Microservices architect, and Open Tracing. Machine Learning: Python, numpy and scipy, Keras, and other tools. Neural networks and LSTMs. Lead Data Engineer: Python, AWS, Kubernetes, API design, and Postgres. Experience with MLOps, deep learning or model lifecycle, Open Tracing, and Open Telemetry. DevOps Engineer: Kubernetes, Python, AWS, Openshift, or OKD. Other responsibilities include: • Pree-screening resumes; • Contact candidate to check interest in the position and salary expectation; • Technical Interviews; • Tracking candidates performance within the process; • Schedule interviews with the position manager;

I help businesses collect accurate and structured data from websites using Python, saving time and reducing manual work. I specialize in: Web scraping and data extraction Cleaning and organizing data Delivering results in CSV, Excel, or Google Sheets Automating repetitive data tasks Building small custom Python tools and scripts I mainly work with Python libraries such as requests, BeautifulSoup, and pandas to build reliable and efficient automation and data processing solutions. I have a background in Software Engineering (Bachelor’s degree in progress) and practical experience completing real data-related projects. Besides scraping, I can also help with: Data formatting and validation Simple API integrations Debugging and improving Python automation scripts I focus on clear communication, meeting deadlines, and delivering exactly what the client needs. If you need clean, usable data or custom Python automation, feel free to message me. I’m ready to start.

I have a PhD in physics with a strong programming and data visualization background. I've worked with image processing techniques to characterize textures using morphology for two years. I've studied anomalous transport through numerical simulations using intense parallel programming with CUDA and time series analysis with Python, during the 4 years. Currently I'm working on HPC computing and optimizations. Technical skill: - Web scraping - 8 years of LaTeX experience - 6 years of experience with Python - - Image processing - - Data analysis - - Data visualization - 4 years of experience with C/C++ - 2 years of experience with High Performace Computing

Applied & Computational Mathematician specializing in data automation, statistical modeling, and Python development. For the past two years, I have worked as a freelancer delivering structured, efficient, and well-documented solutions for clients on platforms such as Upwork and Workana. My work focuses on transforming complex data and mathematical problems into clear, automated, and scalable systems. I develop: - Python automation scripts - Data cleaning and processing pipelines (10k+ rows) - Analytical dashboards - Machine learning models - Mathematical and statistical models - PDF generation and data extraction (including OCR and web scraping) My background in mathematics allows me to approach in a way that few others can. optimizing processes, improving efficiency, and ensuring logical consistency in every project. One of my key strengths is organization and transparency. Every project includes: - Structured documentation - Logged working hours in shared spreadsheets - Weekly progress reports with summaries and visuals - Secure file management via shared Google Drive folders I focus on delivering solutions that are not only functional, but clean, scalable, and professionally structured.