Transforming raw data into actionable insights using Python, SQL, and Power BI
Passionate about data analysis, visualization, and building efficient solutions. With expertise in Python, SQL, and business intelligence tools, I help organizations make data-driven decisions.

Step-by-step data cleaning methodology used in my analysis projects
Check dataset size and structure, understand columns and objective
Convert to correct formats (numeric, datetime, categorical)
Identify missing data, remove or impute (mean/median/mode)
Delete duplicate rows, validate unique identifiers
Make values consistent (e.g., Male/M/male → Male)
Remove extra spaces, clean text formatting
Detect extreme values, remove or cap if needed
Recheck missing values, confirm data types, ensure no duplicates
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