You will get clean, accurate, and analysis-ready data using Python or Excel
Project details
I will clean, organize, and prepare your dataset so it’s accurate, consistent, and ready for analysis or reporting. Whether your data is messy, duplicated, inconsistent, or split across multiple files, I can help you create a reliable dataset using Python (pandas) or Excel.
Typical tasks include removing duplicates, fixing formatting issues, resolving missing values, merging files, validating data types, and documenting the changes. You’ll receive a clean, structured output you can confidently use for dashboards, reporting, or further analysis.
This service is ideal for businesses, researchers, students, or anyone who needs fast, accurate, and professional data cleaning.
Typical tasks include removing duplicates, fixing formatting issues, resolving missing values, merging files, validating data types, and documenting the changes. You’ll receive a clean, structured output you can confidently use for dashboards, reporting, or further analysis.
This service is ideal for businesses, researchers, students, or anyone who needs fast, accurate, and professional data cleaning.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$40
|
Standard
$80
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Sources Mined/Scraped | 1 | 2 | 5 |
Optional add-ons
You can add these on the next page.
Summary Stats Page
+$35About Christian
Operations Automation | Excel, VBA & Python Workflows
Rexburg, United States - 10:16 am local time
I specialize in building automation-assisted workflows using Excel, VBA, Python, and Power Query that reduce manual effort, improve data consistency, and make operational issues easier to track and resolve.
In one project, I designed an internal Excel-based reconciliation system for a FedEx Ground station that replaced a 1–3 hour nightly manual process. The system consolidated data from multiple sources, normalized and enriched records, tracked unresolved exceptions across a rolling window, and generated management-level summaries on demand.
I focus on practical, error-tolerant solutions that fit real-world operations — where inputs aren’t perfect, processes evolve, and tools need to be usable by non-technical teams.
If you need help automating a messy workflow, cleaning or reconciling data, or turning an error-prone spreadsheet process into something reliable and maintainable, I’m happy to talk through your use case.
Steps for completing your project
After purchasing the project, send requirements so Christian can start the project.
Delivery time starts when Christian receives requirements from you.
Christian works on your project following the steps below.
Revisions may occur after the delivery date.
Data Review
I’ll review your dataset to identify issues such as duplicates, missing values, formatting errors, and structural inconsistencies.
Data Cleaning and Preparation
I’ll clean and format the data using Python or Excel—fixing errors, standardizing fields, resolving missing values, and merging or restructuring files as needed.