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I will clean merge and format your messy csv excel or sql data using python
Programmatic Data Cleaning and Database Querying using Python and Excel
I am a Technical Data Analyst specializing in programmatic data cleaning, database querying, and pipeline optimization. My stack centers on Python (Pandas, NumPy, Matplotlib, Seaborn) and SQL, alongsi...
About this Gig
Messy, broken, or unformatted datasets waste your time and destroy your reporting. I am a Python data specialist focused entirely on programmatic data cleaning, scrubbing, and structured formatting using Pandas and NumPy.
Whether your data is hidden in chaotic CSVs, unformatted Excel files, or raw SQL dumps, I write clean Python scripts to fix it fast.
What I Fix For You:
- Handle missing values (NaN/Null processing)
- Drop duplicates, fix broken formatting, and strip white spaces
- Standardize data types (convert mixed dates, strings, and integers properly)
- Merge, join, and align multiple mismatched CSV/Excel datasets
- Filter anomalies and fix column structural layout
Why Python over Excel?
Manual cleaning leads to human errors. By utilizing Pandas dataframes, I execute programmatic transformations that guarantee 100% data integrity, fast turnarounds for large datasets, and a repeatable workflow.
You receive a perfectly cleaned dataset along with the fully documented Python source code.
NOTE: Please message me with a small sample or preview of your dataset before ordering so we can align on complexity. Let's fix your data today!
My Portfolio
FAQ
What file formats do you accept and deliver?
I accept CSV, Excel (XLSX), and SQL data dumps. I will deliver your cleaned data back to you in the exact format you prefer, along with the source Python script (.py or .ipynb).
How do you handle large datasets that crash Excel?
That is exactly why I use Python and Pandas. While Excel struggles with large files, Python handles millions of rows effortlessly. I can scrub, filter, and merge massive datasets quickly without lagging or data loss.
Will my data remain confidential and secure?
Absolutely. Data privacy is a strict priority. Your datasets are used solely to execute the cleaning and formatting tasks requested, and they are permanently deleted from my local environment once the order is approved and completed.
What if my data has completely random or inconsistent formatting?
I use custom Python string manipulations and mapping functions to fix unpredictable data anomalies. Please use the contact button to send me a small sample file first so I can inspect the structural layout and confirm the solution.
