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At Modest Tree, I worked on custom analytics and web tracking using .NET, StatsD, InfluxDB, and Flux. I wrote queries to process the collected data and make it available to the frontend. I also worked with frontend developers on tracking implementations using JavaScript, Angular, and Google Analytics.
I've also been putting that experience to use on EdwardMa.ca, setting up Google Analytics 4 with custom events to see which projects and services people are interested in and how they interact with the contact form.
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Built a complete website + automation workflow designed to turn business data into a streamlined outreach system.
The process starts with lead generation and data collection, then analyzes each business to identify opportunities for a better online presence. From there, the system organizes the leads, prepares personalized outreach, and sends my portfolio directly to potential clients.
The dashboard keeps everything in one place — leads, website analysis, outreach, follow-ups, campaign progress, and results.
The goal was simple: reduce repetitive work, automate the workflow, and make client outreach faster and more organized.
Built as a personal automation project and optimized around real-world business outreach.
#WebDevelopment #WebDesign #Automation #AI #LeadGeneration #BusinessAutomation #AIAutomation #FrontendDevelopment #NoCode #LowCode #Contra #Freelancing #WebsiteDevelopment #DigitalAutomation #WorkflowAutomation
MessyAPI is a production-ready developer infrastructure platform I built to eliminate repetitive data utility work. It gives developers one API to clean, validate, match, transform, protect, and analyze messy data instead of rebuilding those capabilities for every application.
I designed the platform around real production requirements, including API-key authentication, tenant isolation, usage metering, rate limiting, idempotency, asynchronous jobs, retries, webhooks, observability, and secure data handling.
MessyAPI also includes JavaScript and Python SDKs, OpenAPI, MCP support, CLI tooling, RapidAPI integration, interactive testing, and composable workflows for chaining multiple data operations together.
The goal was simple: turn common data infrastructure developers repeatedly build themselves into one reliable API.
one API for messy data instead of rebuilding it every project is a big win
🚀 Building StockFlow: Production-Ready Inventory & Analytics System (Python / Django)
I’ve been working on StockFlow v1.6 — an enterprise-grade inventory management and stock rotation analytics platform built to simplify supply chain tracking for small to medium businesses.
🛠️ Key Technical Highlights:
• Robust Backend: Powered by Python 3.12, Django 5.2, and Django REST Framework for decoupled frontend readiness.
• Role-Based Access Control (RBAC): Strict permission layers separating Superadmin capabilities from restricted Employee operations.
• Advanced Analytics: Real-time Turnover Index calculation, deadstock identification, and dynamic Chart.js dashboards.
• Multi-Format Reporting: On-the-fly PDF generation (ReportLab) and tabular Excel data exports (openpyxl).
• UI/UX: Tailwind CSS with responsive components and instant search/filtering.
🔗 Live Demo: https://stockflow-controlstock.onrender.com
👤 Admin Credentials: admin / administradorcerouno
👤 Employee Credentials: operador1 / operador1
How do you handle stock valuation and turnover calculations in your custom backends? I'd love to hear your thoughts!
#WebDevelopment #Python #Django #Backend #SoftwareArchitecture #FullStack
