Is your data full of duplicates, missing values, wrong formats, and messy columns? I will clean it up and hand back a structured, analysis-ready dataset.
Bad data kills good decisions. Before any dashboard or model can work, the data underneath has to be clean. This is the step most people skip — and it is why their reports break.
What I fix:
- Remove duplicates and blank rows
- Standardize date formats, text casing, and number types
- Handle missing values (fill, flag, or remove)
- Merge and reshape multiple sheets or tables
- Rename columns and restructure layout for analysis
- Flag anomalies and outliers with notes
Tools: Python (Pandas), Microsoft Excel, Power Query
What you get: A cleaned file (Excel or CSV) plus a short summary of what was changed and why. Any suspicious patterns found in the data will be flagged and explained before the project closes.
Turnaround: Most small datasets completed within 24 hours. Share the file details or describe the dataset in a message — an honest scope estimate will follow before any commitment is needed.