You will get Clean, Organize & Fix Your Excel or Google Sheets Data (Fast & Accurate)


Project details
You will receive a clean, well-organized, and error-free dataset that is ready for immediate analysis or reporting. I specialize in fixing messy Excel and Google Sheets files by removing duplicates, correcting formatting issues, and standardizing data — all with fast delivery and clear communication. My goal is to help small businesses, students, and professionals save time and make their data easy to work with. The work I deliver is accurate, reliable, and tailored exactly to your needs.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$10
|
Standard
$20
|
Advanced
$35
|
|---|---|---|---|
| Delivery Time | 1 day | 2 days | 3 days |
Number of Revisions | 1 | 2 | 3 |
Frequently asked questions
About Guruprasad
Full Stack Developer | React, Next.js, Node.js & TypeScript
Pune, India - 9:45 pm local time
I've built and shipped real products, including Trek Diaries, a booking platform I built solo with verification and availability logic, and UXOverflow, a live AI-powered SaaS where I integrated LLMs to produce structured, reliable output.
What I can help you with:
Modern web apps with React and Next.js
Node.js APIs and backend logic
Databases (PostgreSQL, MongoDB, MySQL)
Integrating AI features (Gemini, Claude, OpenAI) into real products
I communicate clearly, ask the right questions early, and care about getting your project done right. Whether you're building something new or scaling an existing product, let's talk.
Steps for completing your project
After purchasing the project, send requirements so Guruprasad can start the project.
Delivery time starts when Guruprasad receives requirements from you.
Guruprasad works on your project following the steps below.
Revisions may occur after the delivery date.
I review your data & confirm requirements
I check the dataset, clarify details if needed, and ensure we are aligned before cleaning begins.
I clean & organize your data
I remove duplicates, fix formatting, standardize entries, organize columns, and prepare a clean dataset.

