I will transform your messy data into organized tables
R Programmer, Statistician, Book Designer and Writer
About this Gig
I will clean, organize, and prepare your dataset using R or Python quickly and professionally
Are you struggling with messy data? Missing values, typos, inconsistent formats, unstructured text, or duplicate records?
With vast experience in data preprocessing, statistical reporting, and medical research, I will clean your dataset and make it ready for analysis, visualization, or machine learning.
I specialize in R and Python for professional data cleaning from simple spreadsheet fixes to complex text and multi-file cleaning tasks.
What I offer:
- Removing duplicates
- Handling missing values (NA/null)
- Fixing typos & formatting issues
- Standardizing categorical variables
- Free-text cleaning
- Combining multiple data files with great accuracy
- Delivering structured, analysis-ready output
What you get:
- A clean, well-structured dataset
- A report of the cleaning steps
- Clean code for reproducibility
Whether your data comes from surveys, research, business reports, or messy exports from apps, I will transform it into something meaningful and usable.
Just send the data, describe what you want, and Ill take care of the rest.
My Portfolio
FAQ
What is "free-text analysis"?
Free text responses are the responses obtained by letting the respondent write whatever they want, is the opposite of Multiple Choice Questions where the respondent can only choose from pre-set answers. Free text is very messy and impossible to analyze in regular means, but I will do it in no time.
Can you work on non-english data?
Yes of course, I've previously worked with Arabic and French data. My French is so basic, but I managed to clean the data, analyze it, and also write the result report in French.
Can you work on survey data?
Yes of course, I've done this multiple times before.
Can you clean data that is scattered upon multiple files?
Yes of course, I've done this before for the Quality Assurance Unit at Alexandria Faculty of Medicine where I had to gather students is data from more than 7 files using my "mfmr" R package I developed specially for this type of data cleaning.

