The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
"This project demonstrates my expertise in data preprocessing, cleaning, and transformation using Power Query Editor. I handled a raw sales dataset that contained inconsistencies, missing values, and formatting errors.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Hi, I’m an experienced Bookkeeper dedicated to keeping your business finances accurate, organized, and up to date.
If you hire me, I’ll take care of your day-to-day bookkeeping so you can focus on running and growing your business.
What I’ll do for you:
Categorize and record transactions accurately
Reconcile bank and credit card accounts
Manage Accounts Payable & Receivable
Record invoices, bills, payments, and deposits
Clean up and organize your books
Handle month-end closing
Prepare accurate financial reports
Maintain QuickBooks Online, QuickBooks Desktop, or Xero
My goal is simple: clean books, accurate numbers, and a clear picture of your business finances.🙌
Wishing you the best of luck 😊
"We can't afford a data analyst."
I've heard this from 3 different startups this year.
So I built one.
Metriva is an AI-powered business analyst that:
📊 Turns messy spreadsheets into executive dashboards
🧠 Writes C-level business briefs automatically
📈 Forecasts trends + detects anomalies
💬 Answers questions about your data in plain English
🎯 Finds your Pareto 80/20 — who drives 80% of your revenue?
No SQL. No Python. No data team.
Just upload your file and get answers.
Built with Flask, vanilla JS, and a lot of late nights.
🔗 Try it: metriva.ai1.vercel.app
#AI #BusinessIntelligence #Founder #IndieHacker #DataScience
The brief-writing piece is interesting — curious how you handle the validation step. AI-generated language tends to sound confident even when the underlying data is sparse or the trend is ambiguous. One pattern that helps: have the model output a confidence signal alongside the...
