I will do python data cleaning, cleansing and exploratory data analysis
About this Gig
"Stop Scrolling"! Is messy, unorganized data holding your business back? Or do you have raw numbers but don't know what story they are trying to tell?
Welcome! Bad data leads to bad business decisions. Whether you are dealing with duplicates, missing values, broken formatting, or just need clear statistical insights and Descriptive analysis from a massive dataset, you are in the right place .
Services I Offer:
1. Data Cleansing & Cleaning
- Removing duplicates, empty rows, and extra spaces
- Standardizing dates, numbers, currencies, and formats
- Splitting/merging columns (e.g., First & Last Name)
- Fixing typos, inconsistent text, and missing values
2. Data Analysis & Insights
- Descriptive statistics (Mean, Median, Totals, Percentages)
- Pivot tables, trend identification, and correlation checks
- Clean, easy-to-read charts and visual graphs
- Summary key takeaways for your business or report
Why Work With Me?
- 100% attention to detail and error-free delivery.
- Your business data is safe and kept strictly confidential.
- Regular updates and prompt responses.
- Fast turnaround options available.
Note: Please reach out me first so I can get a clear understanding of your project and your needs.
My Portfolio
Other Data Analytics Services I Offer
FAQ
What file formats do you accept?
I accept Excel files (.xlsx, .xls), CSV files, Google Sheets links, and text files (.txt). If you have data in another format (like PDF or JSON), please send me a message first so I can confirm compatibility.
Is my business data kept private and secure?
Absolutely. I treat all client data with 100% confidentiality. Your files will never be shared, published, or stored longer than necessary to complete your order. I am also happy to sign an NDA if required.
What if my dataset has more rows than your packages offer?
No problem at all! If your file exceeds 20,000 rows, simply send me a message with your dataset size. I will send you a custom offer tailored to your exact row count and project requirements.
What tools do you use for data cleaning and analysis?
Depending on the size and complexity of your data, I use Microsoft Excel (Power Query, Pivot Tables, Advanced Formulas), or Python (Pandas/NumPy) for larger, complex datasets.
Can you handle missing values or incorrect formatting?
Yes! Fixing missing values, removing duplicate entries, standardizing dates/currencies, and splitting or merging columns are core parts of my data cleansing process.

