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Built a machine learning model to predict car prices based on vehicle characteristics. The project includes data preprocessing, exploratory data analysis, feature engineering, data visualization, model training, and evaluation using Python and Scikit-learn.
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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Amaan | Contra × Bubble Challenge 🚀
Amaan comes from the Arabic word أمان — meaning safety.
We all know the feeling of buying something from a stranger online…
You send the money and just hope the “imaginary product” actually shows up.
So I’m building Amaan — a social commerce platform where your money stays protected and held until you receive your product and confirm delivery.
Buy with confidence. Sell with trust. 💯
More soon 👀:
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I built CarMe, a premium, full-stack web and database application designed to redefine the car rental experience across Morocco. It features a dynamic multi-step booking engine, an interactive node-based routing map, and a seamlessly filtered fleet inventory. Why: The standard car rental process can often feel opaque and fragmented. I wanted to engineer a digital-first solution that prioritizes transparency (no hidden fees, instant confirmation) and luxury. The goal was to bridge the gap between high-end customer service—like airport meet-and-greets—and a flawless, modern UI.
like it only wished it woudnt need a log in upfront
ModelCars.com is a long-standing Shopify store with a large catalog of over 4,000 SKUs in the scale model and diecast niche. Despite strong traffic and an established customer base, users were struggling to navigate the store and complete purchases. A full CRO audit was conducted covering behavioral analysis, competitor benchmarking, mobile usability, and site speed to identify friction points and create a prioritized conversion-focused improvement roadmap.
