I will clean your messy dataset and perform eda using sql
About this Gig
Messy data leads to wrong decisions. I will clean your dataset and run SQL queries
to uncover the insights hiding in your data.
What is included in Cleaning:
Remove duplicates and null values
Fix inconsistent formats (dates, currencies, units, text encoding)
Standardize column names and data types
Non-destructive workflow: raw staging cleaned tables
What is included in EDA (Standard/Premium):
Aggregations by category, region, date, etc.
Rankings using window functions (RANK, PARTITION BY)
Correlation-style comparisons and trend queries
Outlier and anomaly detection
Recent work:
Cleaned an 18,979-row FIFA 21 dataset with 77 columns: fixed mixed units (cm/ft, kg/lbs), currency symbols (M/K), star ratings, and embedded newlines
Ran 7 EDA queries using window functions to uncover a 34,000× wage-to-value gap between leagues
Send your CSV or provide a Kaggle dataset link.
Analysis type:
Quantitative Analysis
•
Descriptive Analysis
Expertise:
Business Insights
•
Trends
Technology:
Other
Programming language:
SQL
My Portfolio
FAQ
Which SQL dialects do you support?
MySQL primarily. PostgreSQL is also fine for most tasks.
Will I receive the SQL scripts?
Yes, always. You get all the .sql files used for cleaning and analysis.

