You will get Clean and Deduplicate Excel Data for Reporting

J B.Status: Offline
J B. J B.

Let a pro handle the details

Buy Data Entry services from J, priced and ready to go.
J B.Status: Offline
J B. J B.

Let a pro handle the details

Buy Data Entry services from J, priced and ready to go.

Project details

I clean and organize Excel workbooks so your data is ready for reporting, analysis, or import into your own workflow. This service is for small, clearly scoped files within the selected work-hour tier.

What you receive:
• A cleaned Excel workbook with consistent headers, dates, and number formats
• Exact duplicate removal based on the fields we agree before work begins
• A concise change log explaining key cleanup actions
• For the Advanced tier, a short issue summary for recurring data-quality patterns

Good fit: ordinary Excel files you own or are authorized to share, with clearly identified sheets and cleanup rules.

Not included: account or portal access, passwords, business or accounting advice, intentional data reconstruction, or deletion rules that are not confirmed in writing. Near-duplicate matching, complex merges, macros, and unclear business rules require a separate written scope.

Before ordering, send a sanitized sample or describe the rows, columns, and duplicate rule. I will confirm whether the selected tier fits before work begins.
Data Entry Type
Data Cleansing, Error Detection
Data Entry Tool
Microsoft Excel
What's included
Service Tiers Starter
$25
Standard
$55
Advanced
$105
Delivery Time 1 day 2 days 3 days
Number of Revisions
112
Number of Hours of Work
124
Formatting & Clean Up
Graph & Table Creation
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-
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Frequently asked questions

J B.Status: Offline
J B.Status: Offline
Python Automation & Data Extraction Specialist
Chengdu, China - 8:22 pm local time
I help clients turn repetitive data and workflow tasks into clean, testable deliverables.

I can:

• Extract structured data from client-authorized HTML or PDF files into CSV, Excel, or JSON
• Clean, normalize, validate, and deduplicate spreadsheets
• Fix small Python bugs with reproducible before-and-after tests
• Prepare API field mappings, idempotent sync plans, and bounded retry logic
• Review sanitized n8n workflows and document recovery and rollback steps

My workflow is AI-assisted and human-supervised. Before starting, I confirm the authorized inputs, required output format, acceptance criteria, deadline, exclusions, and revision limit. Where possible, I include source provenance and machine-checkable quality checks.

I focus on clearly scoped, fixed-price tasks using public or client-authorized data. My current portfolio examples are local demonstrations, not paid client projects. Send me the sample input, required output, deadline, and success criteria, and I will reply with a feasibility check, clear scope, timeline, and fixed price.

Steps for completing your project

After purchasing the project, send requirements so J can start the project.

Delivery time starts when J receives requirements from you.

J works on your project following the steps below.

Revisions may occur after the delivery date.

Review the workbook and confirm scope

I check the supplied sheets, target columns, duplicate rules, and missing-value policy before starting.

Clean and standardize the data

I apply the agreed formatting, duplicate removal, and header cleanup within the chosen package.

Review the work, release payment, and leave feedback to J.