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Fiverr Pro
Português
$
USD
I will clean, deduplicate and standardize your excel or CSV data
data analyst
Hi, I'm Fiona, a data analyst with 8 years turning messy data into decisions.
Tools: SQL, Python (pandas, scikit-learn, LightGBM), Power BI, Excel, PowerPoint.
What I deliver:
- Data cleaning: Excel...
Sobre este Serviço
New seller pricing: the first 5 orders are discounted while I build my review history.
Messy Excel or CSV in, clean and analysis-ready data out - usually within 48 hours.
What you get
- Duplicates removed, broken encodings fixed, formats unified
- Dates, currencies, units and category labels standardized so they sort and aggregate correctly
- Missing values handled with a documented approach, not simply deleted rows
- Multiple files or sheets merged and reconciled into one table
- Outliers flagged with reasons, so you decide what to do with them
- A change log covering every transformation, so you can defend the dataset to your team or client
Tools: Python (pandas, NumPy), SQL, Excel
Files I handle: CRM exports, e-commerce order data, survey results, marketing reports, financial records, scraped data.
Why me: 8 years of analysis work, not data entry. Everything is reproducible and documented. If I find something odd - duplicate customers, impossible dates, revenue that does not reconcile - I flag it instead of quietly passing it downstream.
Message me with your file and row count before ordering, and I will confirm scope and turnaround.
Meu portfólio
Perguntas frequentes
What file types do you accept?
CSV, XLSX, XLS, TSV and database exports. If yours is something else, send a small sample and I will tell you straight away whether I can work with it.
Can you guarantee 100% accuracy?
No one honestly can. What I do instead is document every change, so you can verify the result yourself and defend it internally.
: My file is bigger than the package limit. Can you still do it?
Yes. Message me with the row count and the number of files, and I will quote it properly instead of squeezing it into a package that does not fit.
Do you need to know what the data will be used for?
It helps a lot. If I know the decision you are trying to make, I clean toward it and flag anything that would break that decision.
