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Built a data-driven Risk Monitoring Framework to track operational risk indicators, identify emerging trends, and prioritize high-impact signals. Developed SQL-based data pipelines, automated KPI monitoring, and BI dashboards to provide stakeholders with visibility into risk health and operational performance. Applied statistical analysis and predictive/ML concepts to evaluate risk drivers and support data-driven prioritization.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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Here are some slides from an analytics project I've been working on.
Monochrome approach looks amazing!
What if your online store could market itself? 🤖
I’ve been building an AI-powered social media automation platform that turns ecommerce products into ready-to-publish marketing content.
The workflow can:
→ Connect to an ecommerce store
→ Sync products automatically
→ Generate social media content with AI
→ Create product-focused visuals
→ Prepare posts/stories for social platforms
→ Schedule and publish content
→ Keep product marketing running with minimal manual work
The bigger idea isn’t just “AI-generated posts.”
It’s building an automated marketing workflow around the actual products in your store.
This is the kind of automation I enjoy building: connecting APIs, AI agents, ecommerce systems, content generation, and social platforms into one practical workflow.
If you're running an ecommerce business and still creating every product post manually, there’s probably a lot that can be automated.
#AIAutomation #Ecommerce #AI #MarketingAutomation #SaaS #Automation #Contra
Love this autonomous workflow! Clean execution and super practical.
Built a company intelligence and role-resolution system for TenderScope that connects fragmented company records across permits, tenders, contract awards and early construction signals.
The system normalizes company identities, matches records to canonical companies and verifies organizations against the OrgBook BC registry. Rather than simply identifying a company, it determines the role the company plays in a construction project — such as General Contractor, Developer, Architect, Construction Manager, Consultant or Subcontractor.
Each resolution is supported by confidence scoring and evidence, with safeguards that protect previously verified data and deadlock-safe PostgreSQL operations for reliable processing.
The result is a structured intelligence layer that turns inconsistent company mentions across multiple data sources into verified company identities, project relationships and evidence-backed construction roles.
