I built this High-Performance ClickHouse Platform to make large-volume analytics feel effortless and instantly visual. Watch how we transformed raw records into Tableau-ready insights, and leave a comment if you think scalable architecture deserves an award! 🏆✨
🚀 The Stack: ClickHouse | PostgreSQL | Amazon S3 | Python | Tableau
We conquered massive volumes of attendance and payment data by building a unified ingestion workflow. By pulling multi-source data into strictly designed ClickHouse analytical tables, we delivered a reusable, highly scalable architecture that powers fast queries and interactive business dashboards without breaking a sweat. 💡⚙️
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I made a custom logging platform for my apps, its free and open source, still working on a few improvements but currently it supports:
- Real time logs from multiple apps
- App Monitoring and Down Detection
- Email Alerts
- A bit of AI integration cuz why not (though its only available in cloud hosted version)
Check out logui.xyz (https://logui.xyz) - a light-weight logging platform for your self hosted applications.
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Multi-Horizon Demand Forecasting
Designed and implemented a multi-horizon demand forecasting system for an e-commerce business to improve inventory planning and operational decision-making.
The solution generated forecasts across multiple planning horizons while automating forecasting workflows and scenario analysis.
This enabled business teams to make more informed purchasing and inventory decisions while reducing manual forecasting efforts.
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