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Analyzed customer churn data using Python and machine learning to identify patterns linked to customer retention. Cleaned and explored the dataset, engineere...
The network for creativity
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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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What should a beekeeping website explain before asking someone to choose a hive?
For Bee Girl, I designed and built a complete Shopify website around a clear journey: meet the colony, understand what’s inside a nucleus hive, compare the options, and connect with the beekeeper.
Honey yellow, hive black, warm cream, and bold typography bring the same visual language across desktop and mobile layouts.
One design decision that ties it together: the page explains the colony and its five frames before introducing the hive-quantity choices. Education gives the product selection context.
I handled the complete website project for the client through Fiverr, using Shopify. This video walks through the homepage.
Which would you explore first—the hive options, field classes, or the beekeeper’s story?
Explore the full Bee Girl case study: https://contra.com/p/WqNFR67b-bee-girl-shopify-website-design-for-beekeeping
If you’re building a Shopify website for a specialist business, I’m available for website design and development projects.
I'd open the hive options first, but only because the colony section already told me what I'm buying. Explaining the five frames before the quantity choice is a smart order. Teaching before asking someone to choose is so underrated in Shopify stores.
End-to-end retail analytics pipeline that turns raw, messy CSV exports into business decisions, built in Python and SQL and runnable with one command.
What it does:
Cleans and validates 6 relational tables, fixes 585 data-quality issues and logs every action
Loads a SQLite warehouse with keys, constraints and window-function SQL
Customer analytics: RFM segmentation, cohort retention, CAC / LTV by channel, product Pareto, market-basket analysis
Churn prediction model validated on future data (ROC-AUC 0.71, no data leakage)
6-month revenue forecast, best of 3 models by backtest (4.2% MAPE)
Auto-generated Excel report (live formulas, native charts) and an interactive Streamlit dashboard
18 automated tests
We kept zooming in on a planet until it didn't fit on the phone.
A ringed gas giant grows until it fills the whole screen and lands on a deep boom. It's drawn in text characters, one per cell, against black space.
It's 11 seconds, and the sound is ours too.
What should we fly past next?
The whole code garden: https://contra.com/p/oRob3r7o
https://givemeprompts.com/lab/
