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Built an interactive Customer Churn Prediction ML App using Python, Scikit-learn, and Streamlit. 🤖📊
The app predicts customer churn risk and helps businesses identify customers who may be likely to leave, enabling better customer retention decisions.
🔹 Machine Learning
🔹 Customer Churn Prediction
🔹 Data Analysis
🔹 Python & Scikit-learn
🔹 Streamlit Deployment
A practical ML project focused on turning customer data into actionable insights.
The network for creativity
Join 1.25M professional creatives like you
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Creatives on Contra have earned over $150M and we are just getting started
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The Crown Remembers — A Yoruba Future, 2126
Inspired by the Met’s Yoruba Adénlá (Big Crown), I reimagined the crown as a living archive of ancestral memory in the year 2126.
Rather than simply creating a futuristic version of the original object, I explored what its symbols, craftsmanship, and connection to Yoruba ancestry could become in the future. Traditional beadwork, ancestral faces, birds, and the ceremonial veil are transformed through futuristic materials, light, and technology while preserving their cultural character.
The final work imagines a future where technological progress has not erased cultural identity. The crown becomes more than royal regalia—it becomes a bridge between generations, carrying the memory of the past into the future.
The central question behind the work:
What if, 100 years from now, our most advanced technology is still rooted in the memory of those who came before us?
If you use AI correctly, you can make your customer experience more human. Here’s a useful example:
You waited anxiously to buy tickets online to see your favorite band, Twenty One Pilots, play live. Tickets sell out almost instantly, but you somehow manage to grab tickets for you and your best friend.
Except due to an error on the website, seats were randomly reserved, and since nobody is seated where they want, chaos ensues for the support team responsible. 10,000 support tickets flood the inbox, and the team of 6 support reps is stretched thin. The normal, easy-going introduction goes out the window and is instead replaced by an impersonal copy-and-paste reply.
Courtesy is exchanged for pure efficiency. There’s no time for relationship building. Communication between support and the customers becomes purely for information exchange and nothing else.
Let’s imagine the support team instead has AI that is well-configured and can solve this issue while maintaining a light-hearted conversation (not hard to do nowadays). Remember that AI answers immediately and is not limited by the number of conversations.
Most of these tickets will get answered and solved much quicker than the human support team could’ve done. The remaining issues AI can’t solve, the support team can now take a second to ask the customer how they are doing and take a sip of tea before diving into fixing their issue.
If you use AI correctly, you can make your customer experience more human.
