So, I just started a new project – forecasting sales for small businesses.

Why?
Because I actually ran my own store for over a year.
And during that time, I kept thinking…
“Wouldn’t it be awesome if I could predict what the next week’s sales might look like?”

This is exactly that.
A small attempt to turn my real-world frustration into something smarter with data.

💡 What I’m trying to do

• Predict daily or weekly sales using past data
• Add external factors like weather, holidays, and day of week
• Eventually turn it into something that could help make decisions
  like when to market, when to hire, or even when to take a day off

This isn’t just a toy problem for me —
I know how stressful it gets when sales dip or you overprepare on a slow day.

🧪 What’s happening now

Right now I’m:

• setting things up on GitHub
• drafting some ideas
• and hunting for open datasets (💳💨)

I’ve got a few directions I want to test out —
some models like XGBoost, maybe Prophet for time series,
and possibly even a little Streamlit dashboard if I feel fancy later on.

✍️ Final thoughts

This project is part tech, part therapy.
It’s me trying to combine what I’ve learned with what I’ve lived.

I’ll be sharing updates here as I go —
failures included, because that’s the fun part.

Stay tuned!