🏆 SQL Hackathon Completed — Winner Announced

Wed, 30 Sep 2026 21:52:57 +0000

I’m excited to announce the successful completion of my SQL Business Analytics Challenge on Kaggle.

The challenge focused on a practical SQL problem:

Find the top-spending customer in each country over the last 30 days.

Participants were challenged to build a robust SQL solution using:

JOIN operations between Customers and Orders
Common Table Expressions (CTEs)
Aggregation with SUM()
Window functions such as ROW_NUMBER() or RANK()
Country-level ranking
Tie-breaking by customer name
Filtering orders from the most recent 30 days

📊 Challenge Results

A total of 6 submissions were reviewed.

Submissions were evaluated based on:

SQL logic correctness
Proper use of window functions
Query clarity and comments
Explanation of the approach
Overall correctness

🥇 SQL Excellence Award

Winner: Shohinur Pervez Shohan

Winning project:

“Top-Spending Customer Per Country”

The winning solution used a CTE + Window Function approach and was validated against the original dataset, including join cases and edge cases involving orders outside the 30-day window.

The solution correctly performed customer-level spending aggregation, ranked customers within each country, and handled the required tie-breaking logic.

👏 Congratulations to Shohinur Pervez Shohan!

🙌 Thank You to Everyone Who Participated

Thank you to everyone who submitted a SQL solution and took part in the challenge.

The goal of this challenge was not only competition, but also practical learning — applying SQL concepts to a realistic business analytics problem and comparing different approaches to solving it.

I’m happy to have organized this challenge and to see the community engage with SQL and data analytics.

🔗 Challenge & Results

You can view the full Kaggle challenge, submissions, and wrap-up here:

https://www.kaggle.com/competitions/sql-challenge-to-find-top-spending-customers-per-country-in/hackathon-host-wrap-up

More SQL, Data Analytics, AI, and programming challenges are coming soon. 🚀

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🏆 SQL Hackathon Completed — Winner Announced

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