You will get clean, validated and analysis-ready dataset
Project details
Transform your raw, inconsistent, or unstructured data into a clean, validated, and analytics-ready dataset. I provide professional Data Cleaning, ETL, and Data Preparation services using Python, Pandas, SQL, and Excel to ensure your data is accurate, consistent, and ready for Business Intelligence, reporting, machine learning, or AI applications. I handle missing values, duplicates, formatting issues, data validation, normalization, feature engineering, merging, aggregation, and transformation while following industry best practices. Whether your data comes from Excel, CSV, SQL databases, JSON, APIs, or Google Sheets, I deliver reliable, well-documented datasets and reproducible workflows tailored to your business needs. The final deliverables can include clean datasets, Python scripts, SQL queries, ETL pipelines, Jupyter notebooks, and data quality reports, allowing you to save time, improve decision-making, and build dashboards, predictive models, or analytics solutions with confidence.
Data Tool
PythonWhat's included
| Service Tiers |
Starter
$30
|
Standard
$70
|
Advanced
$150
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Number of Pages Mined/Scraped | 0 | 0 | 0 |
Number of Sources Mined/Scraped | 0 | 0 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $60
Additional Revision
+$10
Python Cleaning Script
(+ 2 Days)
+$30
Data Quality Report
(+ 1 Day)
+$20
Feature Engineering
(+ 2 Days)
+$40About Sofiane
Data Scientist | Machine Learning | Python, R & Power BI Developer
Algiers, Algeria - 12:49 am local time
Steps for completing your project
After purchasing the project, send requirements so Sofiane can start the project.
Delivery time starts when Sofiane receives requirements from you.
Sofiane works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Analysis
I review your dataset, objectives, and technical requirements to define the best data preparation strategy.
Data Cleaning & Transformation
I clean, validate, transform, and optimize your data by handling missing values, duplicates, formatting issues, inconsistencies, and any required ETL or feature engineering tasks.
