You will get will clean, structure, and automate your messy data
Project details
I help businesses turn messy, unreliable data into clean, structured datasets that are ready for analysis and decision-making.
If you're working with Excel files, CSV exports, or database dumps that are inconsistent, hard to use, or require manual work, I can fix and automate the process.
I focus on building simple, reliable solutions that reduce manual effort and make your data easy to work with. This can include cleaning and standardizing data, restructuring it into usable formats, and creating automated workflows using Python.
For more advanced needs, I can also apply statistical or machine learning methods (e.g., XGBoost, Random Forest) to extract insights or build predictive models.
My goal is not to overcomplicate things, but to deliver practical solutions that save time and improve data quality.
If you're working with Excel files, CSV exports, or database dumps that are inconsistent, hard to use, or require manual work, I can fix and automate the process.
I focus on building simple, reliable solutions that reduce manual effort and make your data easy to work with. This can include cleaning and standardizing data, restructuring it into usable formats, and creating automated workflows using Python.
For more advanced needs, I can also apply statistical or machine learning methods (e.g., XGBoost, Random Forest) to extract insights or build predictive models.
My goal is not to overcomplicate things, but to deliver practical solutions that save time and improve data quality.
Database Type
MySQL, SQLite, PostgreSQLWhat's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$800
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 0 | 0 | 2 |
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$15 - $200
Additional Revision
+$20About Peter
Data Engineer | Python, SQL, ETL & Automation
Montreal, Canada - 8:05 am local time
I’ve built automated data processing systems and worked with large, high-dimensional datasets, focusing on reliable and reproducible workflows.
I can help with:
• Cleaning and organizing raw data (CSV, Excel, databases)
• Building SQL databases and writing efficient queries
• Automating repetitive data tasks with Python
• Structuring datasets for reporting and analysis
• Applying statistical or machine learning methods (e.g., XGBoost, Random Forest) when needed
I deliver simple, reliable solutions that reduce manual work and make data easy to use.
Founder of Quantivum, a data and automation solutions company.
Steps for completing your project
After purchasing the project, send requirements so Peter can start the project.
Delivery time starts when Peter receives requirements from you.
Peter works on your project following the steps below.
Revisions may occur after the delivery date.
Review data and define approach
I review your dataset and requirements to identify issues and define the best approach for cleaning and structuring your data.