You will get Deploy a Custom Web App to Clean & Automate Excel/CSV Data (NeatData 2.0)
Project details
Is messy data slowing you down?
Forget slow Excel macros. I offer a professional service using NeatData v2.0, my proprietary Web-Based Data Cleaning Platform powered by Python, FastAPI, and Streamlit.
I deploy a modern web app that cleans, standardizes, and exports massive datasets (275k+ rows) in seconds via a simple drag-and-drop interface.
What NeatData v2.0 Does:
• De-duplication: Instantly remove duplicates with smart logic.
• Standardization: Auto-fix formats (Phones, Dates, Currency).
• Visual Dashboard: Real-time stats via Streamlit interface.
• Incremental Logic: Separates new data from old to avoid redundancy.
Why Choose This?
• Web-Based: No installation. Access directly from your browser.
• High Performance: Processes 275,000+ rows in seconds (see video).
• API Ready: Built on FastAPI for future integrations.
• 100% Privacy: Data is processed securely.
Deliverables: Depending on your package, I deliver the Cleaned Data, the Deployed Web App, or the Full Source Code.
Order now to upgrade your workflow with a custom Data Cleaning Platform!
Forget slow Excel macros. I offer a professional service using NeatData v2.0, my proprietary Web-Based Data Cleaning Platform powered by Python, FastAPI, and Streamlit.
I deploy a modern web app that cleans, standardizes, and exports massive datasets (275k+ rows) in seconds via a simple drag-and-drop interface.
What NeatData v2.0 Does:
• De-duplication: Instantly remove duplicates with smart logic.
• Standardization: Auto-fix formats (Phones, Dates, Currency).
• Visual Dashboard: Real-time stats via Streamlit interface.
• Incremental Logic: Separates new data from old to avoid redundancy.
Why Choose This?
• Web-Based: No installation. Access directly from your browser.
• High Performance: Processes 275,000+ rows in seconds (see video).
• API Ready: Built on FastAPI for future integrations.
• 100% Privacy: Data is processed securely.
Deliverables: Depending on your package, I deliver the Cleaned Data, the Deployed Web App, or the Full Source Code.
Order now to upgrade your workflow with a custom Data Cleaning Platform!
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$100
|
Standard
$250
|
Advanced
$500
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 1 | 5 | 10 |
Number of Sources Mined/Scraped | 1 | 5 | 10 |
Frequently asked questions
About Hazar
AI Automation Specialist | Python & API Integration | Data Solutions
Izmir, Turkey - 1:37 am local time
I am an AI Automation Specialist focused on engineering high-value, custom workflow solutions that eliminate human error and significantly boost operational efficiency.
My expertise lies in complex, multi-platform "API Integration" (connecting apps like CRMs, Calendars, and Databases) and "Advanced Data Solutions" for hard-to-reach web information.
My Key Assets & Differentiators:
* Proprietary Software (NeatData): I don't rely on basic scripts. I deliver data cleaned and processed using my own Python-based data pipeline (with GUI support) to guarantee 100% data integrity.
* Anti-Bot Scraping: I specialize in bypassing complex JavaScript-protected websites to deliver reliable, real-time market data.
* Workflow Engineering: I build seamless data flows using Python, Make.com/Zapier, Webhooks, and custom code (e.g., Chatbot data -\> Google Sheets automation).
If you have a critical data or integration challenge that off-the-shelf tools can't solve, let's discuss building an autonomous, scalable solution.
Steps for completing your project
After purchasing the project, send requirements so Hazar can start the project.
Delivery time starts when Hazar receives requirements from you.
Hazar works on your project following the steps below.
Revisions may occur after the delivery date.
File Review & Strategy
I review your dataset to understand the structure and confirm the specific cleaning rules (Logic) needed.
Automated Cleaning Process
I process your data using my custom Python tool (NeatData) to eliminate errors, duplicates, and inconsistencies.