Service Overview:
I transform messy, inconsistent raw data into clean, analysis-ready databases using professional SQL techniques. Perfect for businesses with CSV exports, Excel sheets, or raw data needing structure and standardization before analysis.
What I Do:
Clean and standardize raw data using SQL (MySQL)
Handle missing values, remove duplicates, and fix inconsistencies
Standardize text entries (campaign names, locations, categories)
Convert multiple date formats into one standard format using REGEXP
Remove special characters ($, %, commas) from numeric fields
Deliver a clean database ready for BI tools, Excel dashboards, or further analysis
My Process:
Audit – Analyze your raw data, identify missing values, and duplicates
Clean – Remove inconsistencies, standardize text, fix dates, handle NULLs
Optimize – Create a proper table structure with correct data types
Deliver – Clean database file + transformation log + summary report
Sample Project:
Cleaned Google Ads campaign data (10,000+ records):
Unified 5 different date formats into the standard DATE type
Standardized campaign names from 12 variations to 3 consistent categories
Removed $ symbols and converted text to numeric fields
Eliminated duplicate records
Result: 100% improvement in data accuracy for reporting
Pricing:
- Basic Package – $50
Clean single dataset (up to 10,000 rows), fix date formats, remove duplicates, and standardize text fields. - Comprehensive Package – $100
Full database preparation, including schema design, custom transformation rules, handling complex data structures, and detailed documentation. - Custom Package – Negotiable
For large datasets, ongoing monthly maintenance, automated cleaning scripts, or recurring data cleaning needs.
Delivery:
Why Hire Me:
✓ Proven SQL expertise with real project examples
✓ Systematic approach to data cleaning
✓ Attention to detail and data integrity
✓ 7 days post-delivery support
✓ Satisfaction guaranteed