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Segmented 38,997 customers from a 51,290 row e-commerce dataset using KMeans clustering in Python (scikit-learn). Identified 4 distinct customer groups -Frequent Buyers, High Value, High Margin, and Low Value - with actionable business recommendations for targeted marketing campaigns.
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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A promotional video for MerchantSpring - an analytics platform built for e-commerce agencies.
The client initially reached out for a consultation. We discussed the product, its goals, and how the video could be used in marketing. Based on that, we structured the concept and moved into storyboard development, followed by full animation production.
The video was created as a promotional asset, focusing on clearly presenting the product’s value and showcasing its AI-powered capabilities through clean, modern motion design.
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Designed Booking Analytics dashboard case study.
The goal was to make complex booking data easier to understand and act on, without making the dashboard feel overwhelming.
I focused on:
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I’ve documented the full design process and thinking behind it in the case study.
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Pairing the status pie chart with the daily bookings bar right below it is smart, you get composition and volume at a glance without a third chart competing for attention.
