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This project involves researching restaurants in Washington DC and collecting key details such as name, address, phone number, email, and website. I will ensure the data is accurate, well-organized, and delivered in a clean spreadsheet format.
Clean and well-structured output — having name, address, phone, email and website all in one sheet makes this immediately usable for outreach. Great research work!
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
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This project demonstrates my data entry and web research skills. I created a structured spreadsheet containing professional contacts including names, job positions, companies, emails, and phone numbers. The data is organized clearly for business outreach and lead generation purposes.
Clean structure makes outreach datasets far more usable.
When fields like role, company, and contact info are standardized, it becomes much easier to filter, segment, and build targeted outreach lists.
Month 2 of doing SEO for one of my clients and we've already reached 80 clicks from Google!
Their niche is very strong, their site just need a little bit of extra focused optimization and now we're on a roll
Along with monthly blog posts, excited to see the progress on this in the coming months!
Nice progress for just month 2! Getting early traction like that usually means the niche and optimization strategy are aligning well. Excited to see how the results scale over the next few months.
Most spreadsheet problems are not Excel problems.
They’re structure problems.
I often see spreadsheets where:
• formulas reference half the sheet
• headers change across tabs
• logic is embedded inside long nested formulas
• no one knows where the numbers actually come from
The result?
Small updates quietly break the entire model.
A simple structure solves most of this:
Raw Data → Processing → Output → Documentation
Raw data stays untouched.
Processing handles the logic.
Output shows only what decision-makers need.
Documentation explains how metrics are calculated.
Clean structure reduces fragility and makes updates predictable.
Good spreadsheets aren't just about formulas.
They’re about clear data flow and transparent logic.
The goal is to get clear on the data
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