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Developed a time-series machine learning workflow to analyze historical climate data and predict daily mean temperature. The project included exploratory analysis, seasonality detection, rolling statistics, time-based feature engineering, and regression model evaluation.
The Linear Regression model achieved an R² of 0.9311 and RMSE of 1.55, demonstrating strong predictive performance on the test data. Analysis of the historical series also revealed clear annual seasonal patterns and showed how rolling averages can help isolate underlying climate trends from daily variation.
The project demonstrates an end-to-end forecasting workflow using Python, from temporal data exploration and feature engineering through model training and performance evaluation.
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We've been building something for a while, and it's finally time to share it.
Meet Zupa, an AI tool that helps you write LinkedIn and social media posts that actually sound like you.
Most people know they should post more. The hard part is sitting down and turning a rough idea into something worth reading. Zupa takes that idea and shapes it into a post built around what makes people stop scrolling and engage.
It's made for founders, marketers, agencies, and anyone building a personal brand who doesn't have hours to spend writing.
Here's a quick look at what we've built 👇
We're opening early access now, and it's free to try. If you want a look, check out https://www.zupapost.ai/
Honest feedback is welcome too. That's how we'll make it better.
Really like the idea of using psychology to help people rewrite their posts! The UI feels thoughtful and fits the concept really well. It’s a focused tool I could see being useful in everyday writing, especially for making posts more engaging. How long did it take you to go from the initial idea to the finished website?
"Businesses lose time and money to invoice errors that go unnoticed until it's too late. I built an automated pipeline that extracts invoice data, cross-checks it against vendor history, and flags anomalies with clear AI-generated reasoning — all visualized in a real-time dashboard. Stack: LangChain, Groq, n8n, FastAPI, Next.js."
