I will extract, clean and organize your excel data for analysis
About this Gig
Struggling with a messy, inconsistent Excel file that's hard to trust or use? I clean, organize, and structure your data so it's accurate, consistent, and ready for analysis or reporting.
I handle everything from removing duplicates and fixing formatting errors, to building clean Pivot Tables that make your data easy to explore and understand.
DELIVERABLE
Data cleaning remove duplicates, fix inconsistent formatting, correct errors
Power Query automation repeatable cleaning steps for recurring data
Pivot Tables organized summaries for fast, clear analysis
Missing data handling sensible, documented decisions on blanks and gaps
Clean, structured final file properly formatted and ready to use
FEATURED PROJECT: Online Retail RFM Analysis
Cleaned and validated 941,910 raw transaction records down to 392,733 accurate records using Excel Power Query removing duplicates, standardizing formats, and filtering out invalid entries. Then built Pivot Table-based RFM (Recency, Frequency, Monetary) segmentation to group customers into behavioral segments, revealing that 26% of customers were generating 80% of total revenue.
Send me the Raw File/Dataset and I'll take it Up from there.
Platform:
Excel
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Google Sheets
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QuickBooks
Development technology:
Power Query
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Excel
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VLOOKUP
Expertise:
Formatting
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Pivot tables
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Formulas
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Macros
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Data validation
My Portfolio
Other Data Processing Services I Offer
FAQ
What if my data has a lot of missing or inconsistent values?
That's normal, and part of what I handle. I'll clean and standardize it, and clearly document any assumptions made about missing data.
Can you set this up so I can clean new data myself next month?
Yes — that's what the Power Query automation option is for. I'll build repeatable cleaning steps so future data just needs a refresh, not a redo.
Do you need my whole dataset, or can I share a sample first?
A sample is fine to start, especially for larger files — I can confirm scope and timeline before you send the full dataset.

