You will get clean spreadsheets, organized leads, and reports with Python AI
Project details
Disorganized leads, messy spreadsheets, and unclear follow-up lists can cause businesses to miss opportunities. I build tested Python + AI-assisted workflows that clean your approved CSV/Excel file, organize important fields, flag missing information, separate duplicate records, and turn raw data into usable reports.
This project is designed for small businesses that need cleaner lead lists, customer files, intake records, follow-up lists, or recurring spreadsheet reports.
Your original uploaded file will not be deleted or overwritten. Based on your approved rules, I create separate output files such as a cleaned spreadsheet, duplicate report, missing-information review, summary report, README instructions, and handoff notes.
Before I begin, you approve the file/sample, output format, duplicate rules, missing-data rules, and report requirements. After the test/sample output is created, you review it before final delivery.
This project is designed for small businesses that need cleaner lead lists, customer files, intake records, follow-up lists, or recurring spreadsheet reports.
Your original uploaded file will not be deleted or overwritten. Based on your approved rules, I create separate output files such as a cleaned spreadsheet, duplicate report, missing-information review, summary report, README instructions, and handoff notes.
Before I begin, you approve the file/sample, output format, duplicate rules, missing-data rules, and report requirements. After the test/sample output is created, you review it before final delivery.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$397
|
Standard
$950
|
Advanced
$1,750
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 14 days |
Number of Revisions | 1 | 2 | 2 |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100Frequently asked questions
About Frank
Python + AI Business Automation Specialist
Omaha, United States - 4:00 pm local time
Disorganized leads, messy spreadsheets, and unclear follow-up lists can cause businesses to miss opportunities. I build workflows that clean the data, organize important details, flag missing information, remove or separate duplicate records, and turn raw files into usable reports.
My work is based on a clear approval process: approved scope, approved file/sample, approved output format, approved duplicate and missing-data rules, approved sample/test result, and final delivery through Upwork.
Common workflow examples:
- Clean messy CSV or Excel files
- Organize customer/lead intake data
- Remove duplicate records and create duplicate reports
- Flag missing information for follow-up
- Generate daily or weekly summary reports
- Create README instructions and handoff notes
- Build reusable Python automation workflows
I use Python for the reliable automation logic and AI-assisted tools for summaries, documentation, workflow planning, and review. Final deliverables are tested, documented, and reviewed before delivery.
Steps for completing your project
After purchasing the project, send requirements so Frank can start the project.
Delivery time starts when Frank receives requirements from you.
Frank works on your project following the steps below.
Revisions may occur after the delivery date.
Review approved file and rules
I review the approved file/sample, output format, duplicate rules, missing-data rules, and report requirements before building.
Build and test automation
I create or customize the Python workflow, process the approved file, and test that the cleaned output and reports are created correctly.